Airbnb
Sanjana Gupta
30/01/2020
GitHub Repo -
Importing Libraries and setting cwd
library(tidyverse)## -- Attaching packages ---------------------------------------------------------------------------------------------- tidyverse 1.3.0 --## v ggplot2 3.2.1 v purrr 0.3.3
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library(naniar)
library(leaflet)
library(htmltools)
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## windlibrary(htmlwidgets)
library(mapview)
library(dplyr)
library(plotly)
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## group_rowslibrary(here)## here() starts at C:/Users/Sanjana Gupta/Desktop/Winter 2020/Data 598C Data Science Process/Data Science Project#setwd("~/Desktop/Winter 2020/Data 598C Data Science Process/Data Science Project")
#setwd(here("/Data Science Project"))Importing data and creating a training dataset
data1 <- read.csv(file = "data/listings.csv", header = TRUE)
data2 <- read.csv(file = "data/calendar.csv")
data3 <- read.csv(file = "data/reviews.csv")
data_train <- data1Viewing the data in different formats
#View(data_train)
#to view data kinda nicely - uses dplyr
#glimpse(data_train)
#str(data1)
#summary(data_train)
#head(data_train, 1000)
#tail(data_train, 50)Data Understanding & Data Cleanng
- Data Cleaning - removing columns
#cols_to_delete <- c("last_scraped", "thumbnail_url", "host_picture_url", "medium_url", "picture_url", "xl_picture_url", "host_thumbnail_url", "host_picture_url")
#select(data_train, -contains("url"))
data_train$last_scraped <- NULL
data_train$thumbnail_url <- NULL
data_train$host_picture_url <- NULL
data_train$medium_url <- NULL
data_train$picture_url <- NULL
data_train$xl_picture_url <- NULL
data_train$host_thumbnail_url <- NULL
data_train$host_picture_url <- NULL
data_train$host_url <- NULL
data_train$scrape_id <- NULL
data_train$experiences_offered <- NULL
data_train$neighborhood_overview <- NULL
data_train$host_about <- NULL
data_train$host_id <- NULL
data_train$host_verifications <- NULL
data_train$host_has_profile_pic <- NULL
data_train$host_identity_verified <- NULL
data_train$calendar_last_scraped <- NULL
data_train$license <- NULL
data_train$instant_bookable <- NULL
data_train$require_guest_profile_picture <- NULL
data_train$require_guest_phone_verification <- NULL
data_train$summary <- NULL
data_train$notes <- NULL
data_train$space <- NULL
data_train$description <- NULL
data_train$transit <- NULL
data_train$host_since <- NULL
data_train$host_neighbourhood <- NULL
data_train$market <- NULL
data_train$country_code <- NULL
data_train$is_location_exact <- NULL
rownames(data_train) <- NULL
#Viewing the data
#glimpse(data_train)
#summary(data_train$is_location_exact)- Converting Data type for price and cleaning fee to numeric
data_train$price <- sub("\\$","",data_train$price)
data_train$price <- sub(",","",data_train$price)
data_train$price <- as.integer(data_train$price)
data_train$cleaning_fee <- sub("\\$","",data_train$cleaning_fee)
data_train$cleaning_fee <- sub(",","",data_train$cleaning_fee)
data_train$cleaning_fee <- as.integer(data_train$cleaning_fee)- Changing data type of categorical variables to factor
data_train$host_response_time <- as.factor(data_train$host_response_time)
data_train$host_is_superhost <- as.factor(data_train$host_is_superhost)
data_train$neighbourhood_cleansed <- as.factor(data_train$neighbourhood_cleansed)
data_train$property_type <- as.factor(data_train$property_type)
data_train$room_type <- as.factor(data_train$room_type)
data_train$bed_type <- as.factor(data_train$bed_type)
data_train$calendar_updated <- as.factor(data_train$calendar_updated)
data_train$cancellation_policy <- as.factor(data_train$cancellation_policy)- Changing host reponse time and extra people from character to numeric
data_train$host_response_rate<- as.numeric(sub("%", "", data_train$host_response_rate))## Warning: NAs introduced by coerciondata_train$host_response_rate <- data_train$host_response_rate/100
data_train$extra_people <- as.numeric(sub("\\$","",data_train$extra_people))- Checking if Price = 0 for any listings
0 %in% data_train$price## [1] FALSEAll Airbnb listings have a price associated with it
- Removing rows with NA
#is.null(data_train$zipcode)
data_train %>% filter_all(all_vars(!is.na(.)))data_train %>% filter_all(all_vars(complete.cases(.))) - Removing rows with null values
data_train %>% filter_all(all_vars(!is.null(.)))data_train %>% filter_all(all_vars(complete.cases(.))) - Getting a summary of all fields
summary_df <- data.frame(summary(data_train))
#write.csv(summary_df, "summary.csv")- Adding log price column and log accommodates column — Transformations
data_train$log_price <- log(data_train$price)
data_train$log_acc <- log(data_train$accommodates)- Checking for missing values and plotting the data
check_missing<- function(x){
if (is.character(x)) sum(x=="") else sum(is.na(x))
}
NMISS<-data.frame(nmiss=sapply(data_train,check_missing))
#write.csv(NMISS, "missing.csv")
#plotting missing data
missingdata <- data_train
missingdata[missingdata == ""] <- NA
missingdata <- missingdata %>% select(host_is_superhost, review_scores_rating,
host_response_time, name, zipcode, latitude,longitude,
host_location, host_response_rate,neighbourhood_cleansed,
property_type, price,weekly_price, monthly_price, bedrooms, bathrooms)
gg_miss_var(missingdata) + labs(title = "Missing Values Plot",y = "Missing Data", x = "Attribute") + theme_bw() + theme(text=element_text(color = "dark blue")) 
- Replacing missing values
data_train$review_scores_rating <- ifelse(is.na(data_train$review_scores_rating)==T,97,data_train$review_scores_rating)
data_train$host_response_rate <- ifelse(is.na(data_train$host_response_rate)==T,97,data_train$host_response_rate)
#Using same plot as before to check the values
gg_miss_var(missingdata) + labs(title = "Missing Values Plot",y = "Missing Data", x = "Attribute") + theme_bw() + theme(text=element_text(color = "dark blue"))
Data Understanding - plots
- Analysing neighborhood grouping
#In neighborhood group cleansed, there are 794 rows with "Other Neighborhoods"
#Need to fix this - maybe look at neighorhood cleansed column instead?
#Looking at categorical data now
sort(table(data_train$host_neighbourhood), decreasing = TRUE)## integer(0)#head(subset(data_train, select = 'neighbourhood_group_cleansed'))
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## [1690] Downtown Downtown Downtown
## [1693] Downtown Downtown Downtown
## [1696] Downtown Downtown Downtown
## [1699] Downtown Downtown Downtown
## [1702] Downtown Downtown Downtown
## [1705] Downtown Downtown Downtown
## [1708] Downtown Downtown West Seattle
## [1711] West Seattle West Seattle West Seattle
## [1714] West Seattle West Seattle West Seattle
## [1717] West Seattle West Seattle West Seattle
## [1720] West Seattle West Seattle West Seattle
## [1723] West Seattle West Seattle West Seattle
## [1726] West Seattle West Seattle West Seattle
## [1729] West Seattle West Seattle West Seattle
## [1732] West Seattle West Seattle West Seattle
## [1735] West Seattle West Seattle West Seattle
## [1738] West Seattle West Seattle West Seattle
## [1741] West Seattle West Seattle West Seattle
## [1744] West Seattle West Seattle West Seattle
## [1747] West Seattle West Seattle West Seattle
## [1750] West Seattle West Seattle West Seattle
## [1753] West Seattle West Seattle West Seattle
## [1756] West Seattle West Seattle West Seattle
## [1759] West Seattle West Seattle West Seattle
## [1762] West Seattle West Seattle West Seattle
## [1765] West Seattle West Seattle West Seattle
## [1768] West Seattle West Seattle West Seattle
## [1771] West Seattle West Seattle West Seattle
## [1774] West Seattle West Seattle West Seattle
## [1777] West Seattle West Seattle West Seattle
## [1780] West Seattle West Seattle West Seattle
## [1783] West Seattle West Seattle West Seattle
## [1786] West Seattle West Seattle West Seattle
## [1789] West Seattle West Seattle West Seattle
## [1792] West Seattle West Seattle West Seattle
## [1795] West Seattle West Seattle West Seattle
## [1798] West Seattle West Seattle West Seattle
## [1801] West Seattle West Seattle West Seattle
## [1804] West Seattle West Seattle West Seattle
## [1807] West Seattle West Seattle West Seattle
## [1810] West Seattle West Seattle West Seattle
## [1813] West Seattle West Seattle West Seattle
## [1816] West Seattle West Seattle West Seattle
## [1819] West Seattle West Seattle West Seattle
## [1822] West Seattle West Seattle West Seattle
## [1825] West Seattle West Seattle West Seattle
## [1828] Other neighborhoods Other neighborhoods Other neighborhoods
## [1831] Other neighborhoods Other neighborhoods Other neighborhoods
## [1834] Other neighborhoods Other neighborhoods Other neighborhoods
## [1837] Other neighborhoods Other neighborhoods Other neighborhoods
## [1840] Other neighborhoods Other neighborhoods Other neighborhoods
## [1843] Other neighborhoods Other neighborhoods Other neighborhoods
## [1846] Other neighborhoods Other neighborhoods Other neighborhoods
## [1849] West Seattle West Seattle West Seattle
## [1852] West Seattle West Seattle West Seattle
## [1855] West Seattle West Seattle West Seattle
## [1858] West Seattle West Seattle West Seattle
## [1861] West Seattle West Seattle West Seattle
## [1864] West Seattle West Seattle West Seattle
## [1867] West Seattle West Seattle West Seattle
## [1870] West Seattle West Seattle West Seattle
## [1873] West Seattle West Seattle West Seattle
## [1876] West Seattle West Seattle West Seattle
## [1879] West Seattle West Seattle West Seattle
## [1882] West Seattle West Seattle West Seattle
## [1885] West Seattle West Seattle West Seattle
## [1888] West Seattle West Seattle West Seattle
## [1891] West Seattle West Seattle West Seattle
## [1894] West Seattle West Seattle West Seattle
## [1897] West Seattle West Seattle West Seattle
## [1900] West Seattle West Seattle West Seattle
## [1903] West Seattle West Seattle West Seattle
## [1906] West Seattle West Seattle West Seattle
## [1909] West Seattle West Seattle West Seattle
## [1912] Interbay Interbay Interbay
## [1915] Interbay Interbay Interbay
## [1918] Interbay Interbay Interbay
## [1921] Interbay Interbay Other neighborhoods
## [1924] Other neighborhoods Other neighborhoods Other neighborhoods
## [1927] Other neighborhoods Beacon Hill Beacon Hill
## [1930] Beacon Hill Beacon Hill Beacon Hill
## [1933] Beacon Hill Beacon Hill Beacon Hill
## [1936] Beacon Hill Beacon Hill Beacon Hill
## [1939] Beacon Hill Beacon Hill Beacon Hill
## [1942] Beacon Hill Beacon Hill Beacon Hill
## [1945] Beacon Hill Beacon Hill Beacon Hill
## [1948] Beacon Hill Beacon Hill Beacon Hill
## [1951] Beacon Hill Beacon Hill Beacon Hill
## [1954] Beacon Hill Beacon Hill Beacon Hill
## [1957] Beacon Hill Beacon Hill Beacon Hill
## [1960] Beacon Hill Beacon Hill Other neighborhoods
## [1963] Other neighborhoods Other neighborhoods Other neighborhoods
## [1966] Other neighborhoods Other neighborhoods Other neighborhoods
## [1969] Other neighborhoods Other neighborhoods Other neighborhoods
## [1972] Other neighborhoods Other neighborhoods Other neighborhoods
## [1975] Other neighborhoods Other neighborhoods Other neighborhoods
## [1978] Other neighborhoods Other neighborhoods Other neighborhoods
## [1981] Other neighborhoods Other neighborhoods Other neighborhoods
## [1984] Other neighborhoods Other neighborhoods Other neighborhoods
## [1987] Other neighborhoods Other neighborhoods Other neighborhoods
## [1990] Other neighborhoods Other neighborhoods Other neighborhoods
## [1993] Other neighborhoods Other neighborhoods Other neighborhoods
## [1996] Other neighborhoods Other neighborhoods Other neighborhoods
## [1999] Other neighborhoods Other neighborhoods Other neighborhoods
## [2002] Other neighborhoods Other neighborhoods Other neighborhoods
## [2005] Other neighborhoods Other neighborhoods Other neighborhoods
## [2008] Other neighborhoods Other neighborhoods Other neighborhoods
## [2011] Other neighborhoods Other neighborhoods Other neighborhoods
## [2014] Other neighborhoods Other neighborhoods Other neighborhoods
## [2017] Other neighborhoods Other neighborhoods Other neighborhoods
## [2020] Other neighborhoods Other neighborhoods Other neighborhoods
## [2023] Other neighborhoods Other neighborhoods Other neighborhoods
## [2026] Other neighborhoods Other neighborhoods Other neighborhoods
## [2029] Other neighborhoods Other neighborhoods Other neighborhoods
## [2032] Other neighborhoods Other neighborhoods Other neighborhoods
## [2035] Other neighborhoods Other neighborhoods Other neighborhoods
## [2038] Other neighborhoods Other neighborhoods Other neighborhoods
## [2041] Other neighborhoods Other neighborhoods Other neighborhoods
## [2044] Other neighborhoods Other neighborhoods Other neighborhoods
## [2047] Other neighborhoods Other neighborhoods Other neighborhoods
## [2050] Other neighborhoods Beacon Hill Beacon Hill
## [2053] Beacon Hill Beacon Hill Beacon Hill
## [2056] Beacon Hill West Seattle West Seattle
## [2059] West Seattle West Seattle West Seattle
## [2062] West Seattle West Seattle West Seattle
## [2065] West Seattle West Seattle Beacon Hill
## [2068] Beacon Hill Beacon Hill Beacon Hill
## [2071] Beacon Hill Beacon Hill Beacon Hill
## [2074] Beacon Hill Beacon Hill Beacon Hill
## [2077] Beacon Hill Beacon Hill Beacon Hill
## [2080] Beacon Hill Beacon Hill Beacon Hill
## [2083] Beacon Hill Beacon Hill Beacon Hill
## [2086] Beacon Hill Beacon Hill Beacon Hill
## [2089] Beacon Hill Beacon Hill Beacon Hill
## [2092] Beacon Hill Beacon Hill Beacon Hill
## [2095] Beacon Hill Beacon Hill Beacon Hill
## [2098] Beacon Hill Beacon Hill Beacon Hill
## [2101] Beacon Hill Beacon Hill Beacon Hill
## [2104] Beacon Hill Beacon Hill Beacon Hill
## [2107] Beacon Hill Beacon Hill Beacon Hill
## [2110] Beacon Hill Beacon Hill Beacon Hill
## [2113] Beacon Hill Beacon Hill Beacon Hill
## [2116] Beacon Hill Beacon Hill Beacon Hill
## [2119] Beacon Hill Beacon Hill Beacon Hill
## [2122] Beacon Hill Beacon Hill Beacon Hill
## [2125] Beacon Hill Beacon Hill Beacon Hill
## [2128] Beacon Hill Beacon Hill Beacon Hill
## [2131] Beacon Hill Beacon Hill Beacon Hill
## [2134] Beacon Hill Beacon Hill Beacon Hill
## [2137] Beacon Hill Rainier Valley Beacon Hill
## [2140] Beacon Hill Beacon Hill Beacon Hill
## [2143] Beacon Hill Beacon Hill Beacon Hill
## [2146] Rainier Valley Rainier Valley Rainier Valley
## [2149] Rainier Valley Rainier Valley Rainier Valley
## [2152] Rainier Valley Rainier Valley Rainier Valley
## [2155] Rainier Valley Rainier Valley Rainier Valley
## [2158] Rainier Valley Delridge Delridge
## [2161] Delridge Delridge Delridge
## [2164] Delridge Delridge Delridge
## [2167] Delridge Delridge Delridge
## [2170] Delridge Other neighborhoods Other neighborhoods
## [2173] Other neighborhoods Other neighborhoods Other neighborhoods
## [2176] Other neighborhoods Other neighborhoods Rainier Valley
## [2179] Rainier Valley Rainier Valley Rainier Valley
## [2182] Rainier Valley Rainier Valley Rainier Valley
## [2185] Rainier Valley Rainier Valley Rainier Valley
## [2188] Rainier Valley Rainier Valley Rainier Valley
## [2191] Rainier Valley Rainier Valley Rainier Valley
## [2194] Rainier Valley Rainier Valley Rainier Valley
## [2197] Rainier Valley Rainier Valley Rainier Valley
## [2200] Rainier Valley Rainier Valley Rainier Valley
## [2203] Rainier Valley Rainier Valley Rainier Valley
## [2206] Rainier Valley Rainier Valley Rainier Valley
## [2209] Rainier Valley Rainier Valley Rainier Valley
## [2212] Rainier Valley Rainier Valley Rainier Valley
## [2215] Rainier Valley Rainier Valley Rainier Valley
## [2218] Rainier Valley Rainier Valley Rainier Valley
## [2221] Rainier Valley Rainier Valley Rainier Valley
## [2224] Rainier Valley Rainier Valley Rainier Valley
## [2227] Rainier Valley Rainier Valley Rainier Valley
## [2230] Rainier Valley Rainier Valley Rainier Valley
## [2233] Rainier Valley Rainier Valley Rainier Valley
## [2236] Rainier Valley Rainier Valley Rainier Valley
## [2239] Rainier Valley Rainier Valley Rainier Valley
## [2242] Rainier Valley Rainier Valley Rainier Valley
## [2245] Rainier Valley Rainier Valley Rainier Valley
## [2248] Rainier Valley Rainier Valley Rainier Valley
## [2251] Rainier Valley Rainier Valley Rainier Valley
## [2254] Rainier Valley Rainier Valley Rainier Valley
## [2257] Rainier Valley Rainier Valley Rainier Valley
## [2260] Rainier Valley Rainier Valley Rainier Valley
## [2263] Rainier Valley Rainier Valley Rainier Valley
## [2266] Rainier Valley Rainier Valley Rainier Valley
## [2269] Rainier Valley Rainier Valley Rainier Valley
## [2272] Rainier Valley Rainier Valley Rainier Valley
## [2275] Rainier Valley Rainier Valley Rainier Valley
## [2278] Rainier Valley Rainier Valley Rainier Valley
## [2281] Rainier Valley Rainier Valley Rainier Valley
## [2284] Rainier Valley Rainier Valley Rainier Valley
## [2287] Rainier Valley Rainier Valley Rainier Valley
## [2290] Rainier Valley Rainier Valley Rainier Valley
## [2293] Rainier Valley Rainier Valley Rainier Valley
## [2296] Rainier Valley Rainier Valley Rainier Valley
## [2299] Rainier Valley Rainier Valley Rainier Valley
## [2302] Rainier Valley Rainier Valley Rainier Valley
## [2305] Rainier Valley Rainier Valley Rainier Valley
## [2308] Rainier Valley Rainier Valley Rainier Valley
## [2311] Rainier Valley Rainier Valley Rainier Valley
## [2314] Rainier Valley Rainier Valley Rainier Valley
## [2317] Rainier Valley Rainier Valley Rainier Valley
## [2320] Rainier Valley Rainier Valley Seward Park
## [2323] Seward Park Seward Park Seward Park
## [2326] Seward Park Seward Park Seward Park
## [2329] Seward Park Seward Park Seward Park
## [2332] Seward Park Seward Park Seward Park
## [2335] Seward Park Seward Park Seward Park
## [2338] Seward Park Seward Park Seward Park
## [2341] Seward Park Seward Park Seward Park
## [2344] Seward Park Seward Park Seward Park
## [2347] Seward Park Seward Park Seward Park
## [2350] Seward Park Seward Park Seward Park
## [2353] Seward Park Seward Park Seward Park
## [2356] Seward Park Seward Park Seward Park
## [2359] Seward Park Seward Park Seward Park
## [2362] Seward Park Seward Park Seward Park
## [2365] Seward Park Delridge Delridge
## [2368] Delridge Delridge Delridge
## [2371] Delridge Delridge Delridge
## [2374] Delridge Delridge Delridge
## [2377] Delridge Delridge Delridge
## [2380] Delridge Delridge Delridge
## [2383] Delridge Delridge Delridge
## [2386] Delridge Delridge Delridge
## [2389] Delridge Delridge Delridge
## [2392] Delridge Delridge Delridge
## [2395] Delridge Delridge Delridge
## [2398] Northgate Northgate Northgate
## [2401] Northgate Northgate Northgate
## [2404] Northgate Northgate Northgate
## [2407] Northgate Northgate Northgate
## [2410] Northgate Northgate Northgate
## [2413] Northgate Northgate Northgate
## [2416] Northgate Northgate Northgate
## [2419] Northgate Northgate Northgate
## [2422] Northgate Northgate Northgate
## [2425] Northgate Northgate Northgate
## [2428] Northgate Northgate Northgate
## [2431] Northgate Northgate Northgate
## [2434] Northgate Northgate Northgate
## [2437] Northgate Northgate Northgate
## [2440] Other neighborhoods Other neighborhoods Other neighborhoods
## [2443] Other neighborhoods Other neighborhoods Other neighborhoods
## [2446] Other neighborhoods Other neighborhoods Other neighborhoods
## [2449] Other neighborhoods Other neighborhoods Other neighborhoods
## [2452] Other neighborhoods Other neighborhoods Other neighborhoods
## [2455] Other neighborhoods Other neighborhoods Other neighborhoods
## [2458] Other neighborhoods Other neighborhoods Other neighborhoods
## [2461] Other neighborhoods Other neighborhoods Other neighborhoods
## [2464] Other neighborhoods Other neighborhoods Other neighborhoods
## [2467] Other neighborhoods Other neighborhoods Other neighborhoods
## [2470] Other neighborhoods Other neighborhoods Other neighborhoods
## [2473] Other neighborhoods Other neighborhoods Other neighborhoods
## [2476] Other neighborhoods Other neighborhoods Other neighborhoods
## [2479] Other neighborhoods Other neighborhoods Other neighborhoods
## [2482] Other neighborhoods Other neighborhoods Other neighborhoods
## [2485] Other neighborhoods Other neighborhoods Other neighborhoods
## [2488] Other neighborhoods Other neighborhoods Other neighborhoods
## [2491] Other neighborhoods Other neighborhoods Other neighborhoods
## [2494] Other neighborhoods Other neighborhoods Other neighborhoods
## [2497] Other neighborhoods Other neighborhoods Other neighborhoods
## [2500] Other neighborhoods Other neighborhoods Other neighborhoods
## [2503] Other neighborhoods Other neighborhoods Other neighborhoods
## [2506] Other neighborhoods Delridge Delridge
## [2509] Delridge Delridge Delridge
## [2512] Delridge Delridge Delridge
## [2515] Capitol Hill Capitol Hill Capitol Hill
## [2518] Capitol Hill Capitol Hill Capitol Hill
## [2521] Capitol Hill Capitol Hill Capitol Hill
## [2524] Capitol Hill Capitol Hill Capitol Hill
## [2527] Capitol Hill Other neighborhoods Other neighborhoods
## [2530] Other neighborhoods Other neighborhoods Other neighborhoods
## [2533] Other neighborhoods Other neighborhoods Other neighborhoods
## [2536] Other neighborhoods Other neighborhoods Other neighborhoods
## [2539] Other neighborhoods Other neighborhoods Other neighborhoods
## [2542] Other neighborhoods Other neighborhoods Other neighborhoods
## [2545] Other neighborhoods Other neighborhoods Other neighborhoods
## [2548] Other neighborhoods Other neighborhoods Other neighborhoods
## [2551] Other neighborhoods Other neighborhoods Other neighborhoods
## [2554] Other neighborhoods Other neighborhoods Other neighborhoods
## [2557] Capitol Hill Capitol Hill Capitol Hill
## [2560] Capitol Hill Capitol Hill Capitol Hill
## [2563] Capitol Hill Capitol Hill Capitol Hill
## [2566] Capitol Hill Capitol Hill Capitol Hill
## [2569] Capitol Hill Capitol Hill Capitol Hill
## [2572] Capitol Hill Capitol Hill Capitol Hill
## [2575] Capitol Hill Capitol Hill Capitol Hill
## [2578] Capitol Hill Capitol Hill Capitol Hill
## [2581] Capitol Hill Capitol Hill Capitol Hill
## [2584] Capitol Hill Capitol Hill Capitol Hill
## [2587] Capitol Hill Capitol Hill Capitol Hill
## [2590] Capitol Hill Capitol Hill Capitol Hill
## [2593] Capitol Hill Capitol Hill Capitol Hill
## [2596] Capitol Hill Capitol Hill Capitol Hill
## [2599] Capitol Hill Capitol Hill Capitol Hill
## [2602] Capitol Hill Capitol Hill Capitol Hill
## [2605] Capitol Hill Capitol Hill Capitol Hill
## [2608] Capitol Hill Capitol Hill Capitol Hill
## [2611] Capitol Hill Capitol Hill Capitol Hill
## [2614] Capitol Hill Capitol Hill Capitol Hill
## [2617] Capitol Hill Capitol Hill Capitol Hill
## [2620] Capitol Hill Capitol Hill Capitol Hill
## [2623] Capitol Hill Capitol Hill Capitol Hill
## [2626] Capitol Hill Capitol Hill Capitol Hill
## [2629] Capitol Hill Capitol Hill Capitol Hill
## [2632] Capitol Hill Capitol Hill Capitol Hill
## [2635] Capitol Hill Capitol Hill Capitol Hill
## [2638] Capitol Hill Capitol Hill Capitol Hill
## [2641] Capitol Hill Capitol Hill Capitol Hill
## [2644] Capitol Hill Capitol Hill Capitol Hill
## [2647] Capitol Hill Capitol Hill Capitol Hill
## [2650] Capitol Hill Capitol Hill Capitol Hill
## [2653] Capitol Hill Capitol Hill Capitol Hill
## [2656] Capitol Hill Capitol Hill Capitol Hill
## [2659] Capitol Hill Capitol Hill Capitol Hill
## [2662] Capitol Hill Capitol Hill Capitol Hill
## [2665] Capitol Hill Capitol Hill Capitol Hill
## [2668] Capitol Hill Capitol Hill Capitol Hill
## [2671] Capitol Hill Capitol Hill Capitol Hill
## [2674] Capitol Hill Capitol Hill Capitol Hill
## [2677] Capitol Hill Capitol Hill Capitol Hill
## [2680] Capitol Hill Capitol Hill Capitol Hill
## [2683] Capitol Hill Capitol Hill Capitol Hill
## [2686] Capitol Hill Capitol Hill Capitol Hill
## [2689] Capitol Hill Capitol Hill Capitol Hill
## [2692] Capitol Hill Capitol Hill Capitol Hill
## [2695] Capitol Hill Capitol Hill Capitol Hill
## [2698] Capitol Hill Capitol Hill Capitol Hill
## [2701] Capitol Hill Capitol Hill Capitol Hill
## [2704] Capitol Hill Capitol Hill Capitol Hill
## [2707] Capitol Hill Capitol Hill Capitol Hill
## [2710] Capitol Hill Capitol Hill Capitol Hill
## [2713] Capitol Hill Capitol Hill Capitol Hill
## [2716] Capitol Hill Capitol Hill Capitol Hill
## [2719] Capitol Hill Capitol Hill Capitol Hill
## [2722] Capitol Hill Capitol Hill Capitol Hill
## [2725] Capitol Hill Capitol Hill Capitol Hill
## [2728] Capitol Hill Capitol Hill Capitol Hill
## [2731] Capitol Hill Capitol Hill Capitol Hill
## [2734] Capitol Hill Capitol Hill Capitol Hill
## [2737] Capitol Hill Capitol Hill Capitol Hill
## [2740] Capitol Hill Capitol Hill Capitol Hill
## [2743] Capitol Hill Capitol Hill Capitol Hill
## [2746] Capitol Hill Capitol Hill Capitol Hill
## [2749] Capitol Hill Capitol Hill Capitol Hill
## [2752] Capitol Hill Capitol Hill Capitol Hill
## [2755] Capitol Hill Capitol Hill Capitol Hill
## [2758] Capitol Hill Capitol Hill Capitol Hill
## [2761] Capitol Hill Capitol Hill Capitol Hill
## [2764] Capitol Hill Capitol Hill Capitol Hill
## [2767] Capitol Hill Capitol Hill Capitol Hill
## [2770] Capitol Hill Capitol Hill Capitol Hill
## [2773] Capitol Hill Capitol Hill Capitol Hill
## [2776] Capitol Hill Capitol Hill Capitol Hill
## [2779] Capitol Hill Capitol Hill Capitol Hill
## [2782] Capitol Hill Capitol Hill Capitol Hill
## [2785] Capitol Hill Capitol Hill Capitol Hill
## [2788] Capitol Hill Capitol Hill Capitol Hill
## [2791] Capitol Hill Capitol Hill Capitol Hill
## [2794] Capitol Hill Capitol Hill Capitol Hill
## [2797] Capitol Hill Capitol Hill Capitol Hill
## [2800] Capitol Hill Capitol Hill Capitol Hill
## [2803] Capitol Hill Capitol Hill Capitol Hill
## [2806] Capitol Hill Capitol Hill Capitol Hill
## [2809] Capitol Hill Capitol Hill Capitol Hill
## [2812] Capitol Hill Capitol Hill Capitol Hill
## [2815] Capitol Hill Capitol Hill Capitol Hill
## [2818] Capitol Hill Capitol Hill Capitol Hill
## [2821] Capitol Hill Capitol Hill Capitol Hill
## [2824] Capitol Hill Capitol Hill Capitol Hill
## [2827] Capitol Hill Capitol Hill Capitol Hill
## [2830] Capitol Hill Capitol Hill Capitol Hill
## [2833] Capitol Hill Capitol Hill Capitol Hill
## [2836] Capitol Hill Capitol Hill Capitol Hill
## [2839] Capitol Hill Capitol Hill Capitol Hill
## [2842] Capitol Hill Capitol Hill Capitol Hill
## [2845] Capitol Hill Capitol Hill Capitol Hill
## [2848] Capitol Hill Capitol Hill Capitol Hill
## [2851] Capitol Hill Capitol Hill Capitol Hill
## [2854] Capitol Hill Capitol Hill Capitol Hill
## [2857] Capitol Hill Capitol Hill Capitol Hill
## [2860] Capitol Hill Capitol Hill Capitol Hill
## [2863] Capitol Hill Capitol Hill Capitol Hill
## [2866] Capitol Hill Capitol Hill Capitol Hill
## [2869] Capitol Hill Capitol Hill Capitol Hill
## [2872] Capitol Hill Capitol Hill Capitol Hill
## [2875] Capitol Hill Capitol Hill Capitol Hill
## [2878] Capitol Hill Capitol Hill Capitol Hill
## [2881] Capitol Hill Capitol Hill Capitol Hill
## [2884] Capitol Hill Capitol Hill Capitol Hill
## [2887] Capitol Hill Capitol Hill Capitol Hill
## [2890] Capitol Hill Capitol Hill Capitol Hill
## [2893] Capitol Hill Capitol Hill Capitol Hill
## [2896] Capitol Hill Capitol Hill Capitol Hill
## [2899] Capitol Hill Capitol Hill Capitol Hill
## [2902] Capitol Hill Capitol Hill Capitol Hill
## [2905] Capitol Hill Capitol Hill Capitol Hill
## [2908] Capitol Hill Capitol Hill Capitol Hill
## [2911] Capitol Hill Capitol Hill Capitol Hill
## [2914] Capitol Hill Capitol Hill Capitol Hill
## [2917] Capitol Hill Capitol Hill Capitol Hill
## [2920] Capitol Hill Capitol Hill Capitol Hill
## [2923] Capitol Hill Capitol Hill Capitol Hill
## [2926] Capitol Hill Capitol Hill Capitol Hill
## [2929] Capitol Hill Capitol Hill Capitol Hill
## [2932] Capitol Hill Capitol Hill Capitol Hill
## [2935] Capitol Hill Capitol Hill Capitol Hill
## [2938] Capitol Hill Capitol Hill Capitol Hill
## [2941] Capitol Hill Capitol Hill Capitol Hill
## [2944] Capitol Hill Capitol Hill Capitol Hill
## [2947] Capitol Hill Capitol Hill Capitol Hill
## [2950] Capitol Hill Capitol Hill Capitol Hill
## [2953] Capitol Hill Capitol Hill Capitol Hill
## [2956] Capitol Hill Capitol Hill Capitol Hill
## [2959] Capitol Hill Capitol Hill Capitol Hill
## [2962] Capitol Hill Capitol Hill Capitol Hill
## [2965] Capitol Hill Capitol Hill Capitol Hill
## [2968] Capitol Hill Capitol Hill Capitol Hill
## [2971] Capitol Hill Capitol Hill Ballard
## [2974] Ballard Ballard Ballard
## [2977] Ballard Ballard Ballard
## [2980] Ballard Ballard Ballard
## [2983] Ballard Ballard Ballard
## [2986] Ballard Ballard Ballard
## [2989] Ballard Ballard Ballard
## [2992] Ballard Ballard Ballard
## [2995] Ballard Ballard Ballard
## [2998] Ballard Ballard Ballard
## [3001] Ballard Ballard Ballard
## [3004] Ballard Ballard Ballard
## [3007] Ballard Ballard Ballard
## [3010] Ballard Ballard Ballard
## [3013] Ballard Ballard Ballard
## [3016] Ballard Ballard Ballard
## [3019] Ballard Ballard Ballard
## [3022] Ballard Ballard Ballard
## [3025] Lake City Lake City Lake City
## [3028] Lake City Lake City Lake City
## [3031] Lake City Lake City Lake City
## [3034] Lake City Lake City Lake City
## [3037] Lake City Lake City Lake City
## [3040] Lake City Lake City Lake City
## [3043] Lake City Lake City Lake City
## [3046] Lake City Lake City Lake City
## [3049] Lake City Lake City Lake City
## [3052] Lake City Lake City Lake City
## [3055] Lake City Lake City Lake City
## [3058] Lake City Ballard Ballard
## [3061] Ballard Ballard Ballard
## [3064] Ballard Ballard Ballard
## [3067] Ballard Ballard Ballard
## [3070] Ballard Ballard Ballard
## [3073] Ballard Ballard Ballard
## [3076] Ballard Ballard Ballard
## [3079] Ballard Ballard Ballard
## [3082] Ballard Ballard Ballard
## [3085] Lake City Lake City Lake City
## [3088] Lake City Lake City Lake City
## [3091] Lake City Lake City Lake City
## [3094] Other neighborhoods Lake City Lake City
## [3097] Lake City Lake City Lake City
## [3100] Lake City Lake City Lake City
## [3103] Lake City Lake City Lake City
## [3106] Lake City Lake City Lake City
## [3109] Lake City Lake City Other neighborhoods
## [3112] Other neighborhoods Other neighborhoods Other neighborhoods
## [3115] Other neighborhoods Other neighborhoods Other neighborhoods
## [3118] Other neighborhoods Other neighborhoods Other neighborhoods
## [3121] Other neighborhoods Other neighborhoods Other neighborhoods
## [3124] Other neighborhoods Other neighborhoods Other neighborhoods
## [3127] Other neighborhoods Other neighborhoods Other neighborhoods
## [3130] Other neighborhoods Other neighborhoods Other neighborhoods
## [3133] Other neighborhoods Other neighborhoods Other neighborhoods
## [3136] Other neighborhoods Other neighborhoods Other neighborhoods
## [3139] Other neighborhoods Other neighborhoods Queen Anne
## [3142] Queen Anne Queen Anne Queen Anne
## [3145] Queen Anne Queen Anne Queen Anne
## [3148] Queen Anne Queen Anne Queen Anne
## [3151] Queen Anne Queen Anne Queen Anne
## [3154] Queen Anne Queen Anne Queen Anne
## [3157] Queen Anne Queen Anne Queen Anne
## [3160] Queen Anne Queen Anne Queen Anne
## [3163] Queen Anne Queen Anne Queen Anne
## [3166] Queen Anne Queen Anne Queen Anne
## [3169] Queen Anne Queen Anne Queen Anne
## [3172] Queen Anne Queen Anne Queen Anne
## [3175] Queen Anne Queen Anne Queen Anne
## [3178] Queen Anne Queen Anne Queen Anne
## [3181] Queen Anne Queen Anne Queen Anne
## [3184] Queen Anne Queen Anne Queen Anne
## [3187] Queen Anne Queen Anne Queen Anne
## [3190] Queen Anne Queen Anne Queen Anne
## [3193] Queen Anne Queen Anne Queen Anne
## [3196] Queen Anne Queen Anne Queen Anne
## [3199] Queen Anne Queen Anne Queen Anne
## [3202] Queen Anne Queen Anne Queen Anne
## [3205] Queen Anne Queen Anne Queen Anne
## [3208] Queen Anne Queen Anne Queen Anne
## [3211] Queen Anne Queen Anne Queen Anne
## [3214] Queen Anne Queen Anne Queen Anne
## [3217] Queen Anne Queen Anne Queen Anne
## [3220] Queen Anne Queen Anne Queen Anne
## [3223] Queen Anne Queen Anne Queen Anne
## [3226] Queen Anne Queen Anne Queen Anne
## [3229] Queen Anne Queen Anne Queen Anne
## [3232] Queen Anne Queen Anne Queen Anne
## [3235] Other neighborhoods Other neighborhoods Other neighborhoods
## [3238] Other neighborhoods Other neighborhoods Other neighborhoods
## [3241] Other neighborhoods Other neighborhoods Other neighborhoods
## [3244] Other neighborhoods Other neighborhoods Other neighborhoods
## [3247] Other neighborhoods Other neighborhoods Other neighborhoods
## [3250] Other neighborhoods Other neighborhoods Other neighborhoods
## [3253] Other neighborhoods Other neighborhoods Other neighborhoods
## [3256] Other neighborhoods Other neighborhoods Other neighborhoods
## [3259] Other neighborhoods Other neighborhoods Other neighborhoods
## [3262] Other neighborhoods Other neighborhoods Other neighborhoods
## [3265] Other neighborhoods Other neighborhoods Lake City
## [3268] Lake City Lake City Lake City
## [3271] Lake City Lake City Lake City
## [3274] Lake City Other neighborhoods Other neighborhoods
## [3277] Other neighborhoods Other neighborhoods Other neighborhoods
## [3280] Other neighborhoods Other neighborhoods Other neighborhoods
## [3283] Other neighborhoods Other neighborhoods Other neighborhoods
## [3286] Other neighborhoods Other neighborhoods Ballard
## [3289] Ballard Ballard Ballard
## [3292] Ballard Ballard Ballard
## [3295] Ballard Ballard Ballard
## [3298] Ballard Ballard Ballard
## [3301] Ballard Ballard Ballard
## [3304] Ballard Ballard Northgate
## [3307] Northgate Northgate Northgate
## [3310] Northgate Northgate Northgate
## [3313] Northgate Northgate Northgate
## [3316] Northgate Northgate Northgate
## [3319] Northgate Northgate Northgate
## [3322] Northgate Northgate Northgate
## [3325] Northgate Northgate Northgate
## [3328] Northgate Northgate Northgate
## [3331] Northgate Northgate Northgate
## [3334] Northgate Northgate Northgate
## [3337] Northgate Northgate Northgate
## [3340] Northgate Northgate Northgate
## [3343] Northgate Other neighborhoods Other neighborhoods
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## [3436] Other neighborhoods Magnolia Magnolia
## [3439] Magnolia Magnolia Magnolia
## [3442] Magnolia Magnolia Magnolia
## [3445] Magnolia Magnolia Magnolia
## [3448] Magnolia Magnolia Magnolia
## [3451] Magnolia Magnolia Magnolia
## [3454] Delridge Delridge Delridge
## [3457] Delridge Delridge Delridge
## [3460] Delridge Delridge Delridge
## [3463] Delridge Delridge Delridge
## [3466] Delridge Delridge West Seattle
## [3469] West Seattle West Seattle West Seattle
## [3472] West Seattle West Seattle West Seattle
## [3475] West Seattle West Seattle West Seattle
## [3478] West Seattle West Seattle Other neighborhoods
## [3481] Other neighborhoods Other neighborhoods Other neighborhoods
## [3484] Other neighborhoods Other neighborhoods Other neighborhoods
## [3487] Other neighborhoods Other neighborhoods Other neighborhoods
## [3490] Other neighborhoods Delridge Delridge
## [3493] Delridge Delridge Delridge
## [3496] Delridge Delridge Delridge
## [3499] Delridge Delridge Delridge
## [3502] Delridge Delridge Capitol Hill
## [3505] Capitol Hill Capitol Hill Capitol Hill
## [3508] Capitol Hill Capitol Hill Capitol Hill
## [3511] Capitol Hill Capitol Hill Capitol Hill
## [3514] Capitol Hill Capitol Hill Capitol Hill
## [3517] Capitol Hill Capitol Hill Capitol Hill
## [3520] Capitol Hill Capitol Hill Capitol Hill
## [3523] Capitol Hill Capitol Hill Capitol Hill
## [3526] Capitol Hill Capitol Hill Capitol Hill
## [3529] Capitol Hill Capitol Hill Capitol Hill
## [3532] Capitol Hill Capitol Hill Capitol Hill
## [3535] Capitol Hill Capitol Hill Capitol Hill
## [3538] Capitol Hill Capitol Hill Capitol Hill
## [3541] Capitol Hill Capitol Hill Capitol Hill
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## [3601] Capitol Hill Capitol Hill Capitol Hill
## [3604] Capitol Hill Capitol Hill Capitol Hill
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## [3610] Capitol Hill Capitol Hill Capitol Hill
## [3613] Capitol Hill Capitol Hill Capitol Hill
## [3616] Capitol Hill Capitol Hill Capitol Hill
## [3619] Capitol Hill Capitol Hill Capitol Hill
## [3622] Capitol Hill Capitol Hill Capitol Hill
## [3625] Capitol Hill Capitol Hill Capitol Hill
## [3628] Capitol Hill Capitol Hill Capitol Hill
## [3631] Capitol Hill Capitol Hill Capitol Hill
## [3634] Capitol Hill Capitol Hill Capitol Hill
## [3637] Capitol Hill Capitol Hill Capitol Hill
## [3640] Other neighborhoods Other neighborhoods Other neighborhoods
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## [3814] Other neighborhoods Capitol Hill Rainier Valley
## [3817] Capitol Hill Queen Anne
## 17 Levels: Ballard Beacon Hill Capitol Hill Cascade Central Area ... West Seattlecount(data_train, 'neighbourhood_group_cleansed')count(data_train, 'neighbourhood_cleansed')#Getting a count of listings per neighborhood
#write.csv(neigborhood_data, "neighborhoodcount.csv")
#count(data_train$neighbourhood_cleansed)
plot(data_train$neighbourhood_cleansed, xlab = 'Neighborhoods', ylab = 'Count')
neighborhood <- (data_train$neighbourhood_cleansed)
#x <- sort(count((neighborhood)))
#arrange(data_train, neighbourhood_cleansed)
neighborhood_data <- data_train[order(data_train[,21] ),]
#summary(neighborhood_data$neighbourhood_cleansed)#Trying to fix "Other Neighborhoods" value in neighborhood group cleaned column
#for(i in data_train)
# if(i[neighbourhood_group_cleansed] == "Other neighborhoods")
# i[neighbourhood_group_cleansed] <- i[neighborhood_cleansed]
#Plotting count of listings per neighborhood
neigborhood_data <- table(data_train$neighbourhood_cleansed)
barplot(sort(table(data_train$neighbourhood_group_cleansed), decreasing = TRUE), ylab = "Count",horiz = FALSE , main = "Distribution of Listings Per Neighborhood", beside = FALSE)
#barplot(table(data_train$neighbourhood_group_cleansed), density = 20, ylab = "Count",horiz = FALSE , main = "Distribution of Listings Per Neighborhood", beside = FALSE) + theme(axis.text.x = element_text(angle = 90, hjust = 1))
ggplot(data_train, aes(neighbourhood_group_cleansed)) + geom_bar(na.rm = TRUE, stat = "count") + theme(axis.text.x = element_text(angle = 90, hjust = 1))
- Looking at some more plots - Count of Host Listings
#barplot(data_train$host_listings_count, main = "Count of Host Listings", xlab = "", ylab = "Count")
ggplot(data_train, aes(host_listings_count)) + geom_bar(na.rm = TRUE) + xlim(0,21) 
# Most hosts have a single Airbnb listing.
- Looking at Types of Airbnb properties
#barchart(data_train$property_type, main = "Types of Airbnb Properties", xlab = "Count")
prop_type <- table(data_train$property_type)
barplot(table(data_train$property_type), ylab = "Count",horiz = FALSE, main = "Types of Airbnb Properties", beside = FALSE, las = 1)
ggplot(data_train, aes(property_type)) + geom_bar(na.rm = TRUE, stat = "count") + theme(axis.text.x = element_text(angle = 90, hjust = 1))
#plot(data_train$host_is_superhost)- Prices per Neighborhood
z = table(data_train$room_type,data_train$neighbourhood_group)
kable(z) %>%
kable_styling(bootstrap_options = c("striped", "hover", "condensed","responsive"))| Ballard | Beacon Hill | Capitol Hill | Cascade | Central Area | Delridge | Downtown | Interbay | Lake City | Magnolia | Northgate | Other neighborhoods | Queen Anne | Rainier Valley | Seward Park | University District | West Seattle | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Entire home/apt | 148 | 57 | 384 | 62 | 225 | 41 | 471 | 5 | 31 | 41 | 41 | 492 | 231 | 76 | 27 | 74 | 135 |
| Private room | 82 | 58 | 143 | 24 | 140 | 38 | 42 | 6 | 36 | 19 | 35 | 274 | 62 | 79 | 17 | 38 | 67 |
| Shared room | 0 | 3 | 40 | 3 | 4 | 0 | 17 | 0 | 0 | 1 | 4 | 28 | 2 | 4 | 0 | 10 | 1 |
data_train %>% boxplot(price ~ neighbourhood_group_cleansed,data = ., main="Box Plot of price vs neighbourhood",
ylab="neighbourhood", xlab="Price",horizontal=TRUE)
- Number of listings per neighborhood
ggplot(data_train, aes(x = fct_infreq(neighbourhood_cleansed), fill = room_type)) +
geom_bar() +
labs(title = "No. of listings by neighborhood",
x = "Neighborhood", y = "No. of listings") +
theme(legend.position = "bottom") + theme(axis.text.x = element_text(angle = 90, hjust = 1))
Looks messy, want to consider looking at only the top 10 neighborhoods
- Top 10 neighborhoods - doesn’t work - need to fix this
#top_10 <- data_train %>% group_by(neighborhood_cleansed) %>% tally()
#top_10 <- data_train %>% top_n(n = 10, wt = neighbourhood_group_cleansed) %>% arrange(neighbourhood_group_cleansed) %>% #summarize(neighbourhood_group_cleansed = n())
top_10 <- data_train[data_train$neighbourhood_group_cleansed %in% names(sort(table(data_train$neighbourhood_group_cleansed), decreasing = TRUE)[0:1]),]
#top_10 <- data_train %>% top_n(10) %>% group_by(neighbourhood_group_cleansed) %>% tally()
top_10.val <- table(top_10$neighbourhood_group_cleansed)
kable(top_10.val)| Var1 | Freq |
|---|---|
| Ballard | 0 |
| Beacon Hill | 0 |
| Capitol Hill | 0 |
| Cascade | 0 |
| Central Area | 0 |
| Delridge | 0 |
| Downtown | 0 |
| Interbay | 0 |
| Lake City | 0 |
| Magnolia | 0 |
| Northgate | 0 |
| Other neighborhoods | 794 |
| Queen Anne | 0 |
| Rainier Valley | 0 |
| Seward Park | 0 |
| University District | 0 |
| West Seattle | 0 |
- Looking at outliers for price
ggplot(data=data_train, aes(price)) +
geom_histogram(fill="red") +
labs(title="Histogram of Price") +
labs(x="Price", y="Count")## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
# Percentile of price
quantile(data_train$price, c(.9, .95, .97, 0.975, 0.98, 0.99, 0.995, 0.999, 0.9999))## 90% 95% 97% 97.5% 98% 99% 99.5% 99.9%
## 225.0000 299.0000 350.0000 362.8750 399.6600 475.0000 556.4050 908.3330
## 99.99%
## 999.6183- Room Type Analysis # For a private room
Private_rooms <- data_train %>% filter(room_type == "Private room")
Private_rooms$price %>% summary()## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 20.00 55.00 69.00 75.04 87.00 399.00For an entire apartment
entire_house <- data_train %>% filter(room_type == "Entire home/apt")
entire_house$price %>% summary()## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 39.0 99.0 126.0 155.8 179.0 1000.0#Shared room
shared_room <- data_train %>% filter(room_type == "Shared room")
shared_room$price %>% summary()## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 22.00 35.00 40.00 47.55 55.00 118.00- Average prices for each room type
listingdf <- read.csv('data/listings.csv')
zipReviews <- listingdf %>% group_by(zipcode = zipcode) %>% summarise(avg_loc_review = mean(review_scores_location, na.rm = TRUE))
average_price <- data_train %>% group_by(room_type) %>% summarise(price = mean(price))
colnames(average_price)[1] <- "Room Type"
colnames(average_price)[2] <- "Average Price"
print((average_price))## # A tibble: 3 x 2
## `Room Type` `Average Price`
## <fct> <dbl>
## 1 Entire home/apt 156.
## 2 Private room 75.0
## 3 Shared room 47.5- Top 50 most expensive listings
Model Selection
- Clustering Used Clustering to compare which areas of Seattle have a higher concentration of airbnb listings.
Plotting the listings on the map of Seattle
#Reading Listings Data
listingdf <- read.csv('data/listings.csv')
#Creating a link for each pop up
#Creating Listings across Seattle
map <- leaflet(listingdf) %>%
addTiles() %>%
addMarkers(~longitude, ~latitude,labelOptions = labelOptions(noHide = T),
clusterOptions = markerClusterOptions(),
popup = paste0("<b> Name: </b>", listingdf$name , "<br/><b> Host Name: </b>",
listingdf$host_name, "<br> <b> Price/night: </b>", listingdf$price, "<br/><b> Room Type: </b>",
listingdf$room_type, "<br/><b> Property Type: </b>", listingdf$property_type
)) %>%
setView(-122.335167, 47.608013, zoom = 11) %>%
addProviderTiles("CartoDB.Positron")
mapmapshot(map, url = paste0(getwd(),"/map.html"))This shows listings in a clustered fashion. Clicking on a cluster zooms into the listings belonging to it. Clicking on a pin gives you a pop up with some details about the property. We can see that most of the listings are clustered around Downtown and Cap Hill.
- Linear Regression without interaction Which variables influence price? Variables selected - bathrooms, price, property type, accomodates, bedrooms, room type, host is superhost, cancellation policy, availability_365
LM_model1 <- summary(lm(formula = (price) ~ room_type + accommodates + bedrooms + bathrooms + property_type + host_is_superhost + cancellation_policy + availability_365, data = data_train))
plot(price ~room_type + accommodates + bedrooms + bathrooms + property_type + factor(neighbourhood_cleansed) + host_is_superhost, data = data_train) + abline(lm(formula = price ~ room_type + accommodates + bedrooms + bathrooms, data = data_train))
## Warning in abline(lm(formula = price ~ room_type + accommodates + bedrooms + :
## only using the first two of 6 regression coefficients
## integer(0)LM_model1##
## Call:
## lm(formula = (price) ~ room_type + accommodates + bedrooms +
## bathrooms + property_type + host_is_superhost + cancellation_policy +
## availability_365, data = data_train)
##
## Residuals:
## Min 1Q Median 3Q Max
## -254.83 -29.68 -6.10 19.08 878.45
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 61.02969 75.06715 0.813 0.416269
## room_typePrivate room -40.74873 2.82310 -14.434 < 2e-16 ***
## room_typeShared room -68.82271 6.18422 -11.129 < 2e-16 ***
## accommodates 9.13692 0.92439 9.884 < 2e-16 ***
## bedrooms 31.36825 2.02625 15.481 < 2e-16 ***
## bathrooms 32.24262 2.21573 14.552 < 2e-16 ***
## property_typeApartment 50.11476 61.29735 0.818 0.413655
## property_typeBed & Breakfast 61.68038 62.16507 0.992 0.321162
## property_typeBoat 177.16592 65.01255 2.725 0.006458 **
## property_typeBungalow 51.96304 63.62475 0.817 0.414145
## property_typeCabin 44.48457 62.73873 0.709 0.478341
## property_typeCamper/RV 77.37403 63.59914 1.217 0.223837
## property_typeChalet 56.22846 86.66414 0.649 0.516501
## property_typeCondominium 66.22557 61.61369 1.075 0.282510
## property_typeDorm -105.40555 75.86598 -1.389 0.164804
## property_typeHouse 39.74361 61.30240 0.648 0.516817
## property_typeLoft 74.36185 62.05680 1.198 0.230881
## property_typeOther 36.37421 62.74522 0.580 0.562143
## property_typeTent 26.61601 67.14803 0.396 0.691849
## property_typeTownhouse 39.24577 61.55708 0.638 0.523805
## property_typeTreehouse 72.26659 70.76140 1.021 0.307191
## property_typeYurt 59.60308 86.74712 0.687 0.492068
## host_is_superhostf -82.51799 43.37472 -1.902 0.057189 .
## host_is_superhostt -76.95142 43.41932 -1.772 0.076428 .
## cancellation_policymoderate -8.23936 2.55609 -3.223 0.001277 **
## cancellation_policystrict 1.39917 2.58916 0.540 0.588956
## availability_365 0.02771 0.00798 3.472 0.000522 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 61.24 on 3769 degrees of freedom
## (22 observations deleted due to missingness)
## Multiple R-squared: 0.5444, Adjusted R-squared: 0.5413
## F-statistic: 173.2 on 26 and 3769 DF, p-value: < 2.2e-16#qqnorm(LM_model1$residuals, main = "Normal qq plot of residuals")Results:
Private and Shared rooms, accommodates, bedrooms, bathrooms have a significant impact on price. So does Property Type = Boat - which is weird. R-squared is 54.4%, which is not bad
- Taking log(price) with multiple linear regression:
LM_model2 <- summary(lm(formula = log_price ~ room_type + accommodates + bedrooms + bathrooms + property_type + host_is_superhost +cancellation_policy + availability_365, data = data_train))
plot(price ~room_type + accommodates + bedrooms + bathrooms + factor(neighbourhood_cleansed) + host_is_superhost + cancellation_policy + availability_365, data = data_train) + abline(lm(formula = log_price ~ room_type + accommodates + bedrooms + bathrooms, data = data_train))
## Warning in abline(lm(formula = log_price ~ room_type + accommodates + bedrooms
## + : only using the first two of 6 regression coefficients
## integer(0)LM_model2##
## Call:
## lm(formula = log_price ~ room_type + accommodates + bedrooms +
## bathrooms + property_type + host_is_superhost + cancellation_policy +
## availability_365, data = data_train)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.34035 -0.22537 -0.01903 0.20424 2.18726
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.507e+00 4.270e-01 10.556 < 2e-16 ***
## room_typePrivate room -4.621e-01 1.606e-02 -28.776 < 2e-16 ***
## room_typeShared room -9.026e-01 3.518e-02 -25.660 < 2e-16 ***
## accommodates 5.570e-02 5.258e-03 10.594 < 2e-16 ***
## bedrooms 1.736e-01 1.153e-02 15.062 < 2e-16 ***
## bathrooms 1.184e-01 1.260e-02 9.394 < 2e-16 ***
## property_typeApartment 2.419e-01 3.487e-01 0.694 0.48788
## property_typeBed & Breakfast 4.728e-01 3.536e-01 1.337 0.18124
## property_typeBoat 7.219e-01 3.698e-01 1.952 0.05099 .
## property_typeBungalow 1.980e-01 3.619e-01 0.547 0.58441
## property_typeCabin 1.589e-01 3.569e-01 0.445 0.65606
## property_typeCamper/RV 3.164e-01 3.618e-01 0.874 0.38190
## property_typeChalet 3.465e-01 4.929e-01 0.703 0.48210
## property_typeCondominium 3.423e-01 3.505e-01 0.977 0.32875
## property_typeDorm -5.547e-01 4.315e-01 -1.285 0.19874
## property_typeHouse 1.658e-01 3.487e-01 0.476 0.63438
## property_typeLoft 3.831e-01 3.530e-01 1.085 0.27785
## property_typeOther 1.674e-01 3.569e-01 0.469 0.63902
## property_typeTent -1.933e-01 3.819e-01 -0.506 0.61277
## property_typeTownhouse 2.090e-01 3.501e-01 0.597 0.55055
## property_typeTreehouse 2.817e-01 4.025e-01 0.700 0.48404
## property_typeYurt 2.497e-01 4.934e-01 0.506 0.61278
## host_is_superhostf -5.047e-01 2.467e-01 -2.046 0.04085 *
## host_is_superhostt -4.453e-01 2.470e-01 -1.803 0.07145 .
## cancellation_policymoderate -3.977e-02 1.454e-02 -2.735 0.00627 **
## cancellation_policystrict 1.325e-02 1.473e-02 0.899 0.36845
## availability_365 2.695e-04 4.539e-05 5.937 3.16e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.3483 on 3769 degrees of freedom
## (22 observations deleted due to missingness)
## Multiple R-squared: 0.6243, Adjusted R-squared: 0.6217
## F-statistic: 240.9 on 26 and 3769 DF, p-value: < 2.2e-16Results: Transforming price to log has a higher R-squared value of 62%. Going forward, using log_price instead price.
- Taking log for accomodates: log-accomodates
LM_model3 <- summary(lm(formula = log_price ~ room_type + log_acc + bedrooms + bathrooms + property_type + host_is_superhost, data = data_train))
plot(price ~room_type + log_acc + bedrooms + bathrooms + property_type + availability_365 + host_is_superhost + cancellation_policy, data = data_train) + abline(lm(formula = log_price ~ room_type + log_acc + bedrooms + bathrooms, data = data_train))
## Warning in abline(lm(formula = log_price ~ room_type + log_acc + bedrooms + :
## only using the first two of 6 regression coefficients
## integer(0)LM_model3##
## Call:
## lm(formula = log_price ~ room_type + log_acc + bedrooms + bathrooms +
## property_type + host_is_superhost, data = data_train)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.35096 -0.23221 -0.01591 0.20538 2.07083
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.45251 0.42778 10.408 <2e-16 ***
## room_typePrivate room -0.42435 0.01650 -25.721 <2e-16 ***
## room_typeShared room -0.79495 0.03640 -21.838 <2e-16 ***
## log_acc 0.22552 0.01748 12.905 <2e-16 ***
## bedrooms 0.17905 0.01061 16.883 <2e-16 ***
## bathrooms 0.13246 0.01248 10.610 <2e-16 ***
## property_typeApartment 0.22748 0.34926 0.651 0.5149
## property_typeBed & Breakfast 0.44320 0.35419 1.251 0.2109
## property_typeBoat 0.74891 0.37046 2.022 0.0433 *
## property_typeBungalow 0.20391 0.36246 0.563 0.5738
## property_typeCabin 0.15597 0.35749 0.436 0.6627
## property_typeCamper/RV 0.30257 0.36238 0.835 0.4038
## property_typeChalet 0.29683 0.49372 0.601 0.5477
## property_typeCondominium 0.32250 0.35105 0.919 0.3583
## property_typeDorm -0.69160 0.43178 -1.602 0.1093
## property_typeHouse 0.14931 0.34928 0.427 0.6690
## property_typeLoft 0.37367 0.35358 1.057 0.2907
## property_typeOther 0.17575 0.35754 0.492 0.6231
## property_typeTent -0.21123 0.38247 -0.552 0.5808
## property_typeTownhouse 0.18222 0.35072 0.520 0.6034
## property_typeTreehouse 0.31571 0.40327 0.783 0.4337
## property_typeYurt 0.18325 0.49415 0.371 0.7108
## host_is_superhostf -0.46821 0.24707 -1.895 0.0582 .
## host_is_superhostt -0.41081 0.24731 -1.661 0.0968 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.349 on 3772 degrees of freedom
## (22 observations deleted due to missingness)
## Multiple R-squared: 0.6225, Adjusted R-squared: 0.6202
## F-statistic: 270.5 on 23 and 3772 DF, p-value: < 2.2e-16Using transformation for accommodates column, we get a 62.25% R-squared value. Going forward, using log_accommodates.
- Linear Regression with interaction
LM_model4 <- summary(lm(formula = log_price ~ room_type * log_acc * bedrooms + bathrooms * property_type * cancellation_policy * availability_365, data = data_train))
plot(log_price ~room_type * log_acc * bedrooms * bathrooms * property_type,data = data_train) + abline(lm(formula = price ~ room_type + log_acc + bedrooms + bathrooms, data = data_train))
## Warning in abline(lm(formula = price ~ room_type + log_acc + bedrooms + : only
## using the first two of 6 regression coefficients
## integer(0)LM_model4##
## Call:
## lm(formula = log_price ~ room_type * log_acc * bedrooms + bathrooms *
## property_type * cancellation_policy * availability_365, data = data_train)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.3853 -0.2201 -0.0139 0.1998 2.1341
##
## Coefficients: (87 not defined because of singularities)
## Estimate
## (Intercept) 5.323e+00
## room_typePrivate room -5.289e-01
## room_typeShared room -8.742e-01
## log_acc 1.228e-01
## bedrooms 1.220e-01
## bathrooms 3.769e-02
## property_typeApartment -1.511e+00
## property_typeBed & Breakfast 6.339e+00
## property_typeBoat -2.187e+00
## property_typeBungalow -7.835e-01
## property_typeCabin -1.085e+00
## property_typeCamper/RV 2.866e-01
## property_typeChalet 2.881e-01
## property_typeCondominium -1.334e+00
## property_typeDorm -5.491e-02
## property_typeHouse -1.172e+00
## property_typeLoft -2.104e+00
## property_typeOther 2.380e+01
## property_typeTent -1.004e+00
## property_typeTownhouse -6.778e-01
## property_typeTreehouse 4.039e-02
## property_typeYurt -1.007e-01
## cancellation_policymoderate -3.531e-01
## cancellation_policystrict 4.343e-02
## availability_365 -4.135e-03
## room_typePrivate room:log_acc 1.043e-01
## room_typeShared room:log_acc 1.343e-02
## room_typePrivate room:bedrooms NA
## room_typeShared room:bedrooms NA
## log_acc:bedrooms 4.156e-02
## bathrooms:property_typeApartment 5.123e-01
## bathrooms:property_typeBed & Breakfast -7.195e+00
## bathrooms:property_typeBoat 3.041e+00
## bathrooms:property_typeBungalow -4.403e-02
## bathrooms:property_typeCabin NA
## bathrooms:property_typeCamper/RV -1.881e+00
## bathrooms:property_typeChalet NA
## bathrooms:property_typeCondominium 3.703e-01
## bathrooms:property_typeDorm -1.524e-01
## bathrooms:property_typeHouse 1.130e-01
## bathrooms:property_typeLoft 1.460e+00
## bathrooms:property_typeOther -2.518e+01
## bathrooms:property_typeTent -5.966e-01
## bathrooms:property_typeTownhouse NA
## bathrooms:property_typeTreehouse NA
## bathrooms:property_typeYurt NA
## bathrooms:cancellation_policymoderate -3.599e-03
## bathrooms:cancellation_policystrict -6.742e-03
## property_typeApartment:cancellation_policymoderate 1.001e+00
## property_typeBed & Breakfast:cancellation_policymoderate -6.822e+00
## property_typeBoat:cancellation_policymoderate -1.426e+00
## property_typeBungalow:cancellation_policymoderate 1.022e-02
## property_typeCabin:cancellation_policymoderate 2.102e+00
## property_typeCamper/RV:cancellation_policymoderate 1.266e+00
## property_typeChalet:cancellation_policymoderate NA
## property_typeCondominium:cancellation_policymoderate 4.626e-01
## property_typeDorm:cancellation_policymoderate NA
## property_typeHouse:cancellation_policymoderate 3.972e-01
## property_typeLoft:cancellation_policymoderate 4.468e-01
## property_typeOther:cancellation_policymoderate -2.127e+01
## property_typeTent:cancellation_policymoderate 2.765e-01
## property_typeTownhouse:cancellation_policymoderate NA
## property_typeTreehouse:cancellation_policymoderate NA
## property_typeYurt:cancellation_policymoderate NA
## property_typeApartment:cancellation_policystrict 2.029e-01
## property_typeBed & Breakfast:cancellation_policystrict -9.663e+00
## property_typeBoat:cancellation_policystrict -4.730e-01
## property_typeBungalow:cancellation_policystrict -1.735e-01
## property_typeCabin:cancellation_policystrict -1.406e-01
## property_typeCamper/RV:cancellation_policystrict 3.766e-01
## property_typeChalet:cancellation_policystrict NA
## property_typeCondominium:cancellation_policystrict -1.815e-01
## property_typeDorm:cancellation_policystrict NA
## property_typeHouse:cancellation_policystrict -1.205e-01
## property_typeLoft:cancellation_policystrict 5.440e-01
## property_typeOther:cancellation_policystrict -5.023e+00
## property_typeTent:cancellation_policystrict NA
## property_typeTownhouse:cancellation_policystrict -2.242e-01
## property_typeTreehouse:cancellation_policystrict NA
## property_typeYurt:cancellation_policystrict NA
## bathrooms:availability_365 1.383e-04
## property_typeApartment:availability_365 5.198e-03
## property_typeBed & Breakfast:availability_365 -1.449e-02
## property_typeBoat:availability_365 9.986e-03
## property_typeBungalow:availability_365 3.376e-03
## property_typeCabin:availability_365 4.038e-03
## property_typeCamper/RV:availability_365 4.320e-03
## property_typeChalet:availability_365 NA
## property_typeCondominium:availability_365 6.725e-03
## property_typeDorm:availability_365 NA
## property_typeHouse:availability_365 4.778e-03
## property_typeLoft:availability_365 5.415e-03
## property_typeOther:availability_365 -6.501e-02
## property_typeTent:availability_365 3.480e-03
## property_typeTownhouse:availability_365 3.185e-03
## property_typeTreehouse:availability_365 NA
## property_typeYurt:availability_365 NA
## cancellation_policymoderate:availability_365 1.517e-03
## cancellation_policystrict:availability_365 -1.769e-04
## room_typePrivate room:log_acc:bedrooms NA
## room_typeShared room:log_acc:bedrooms NA
## bathrooms:property_typeApartment:cancellation_policymoderate -5.840e-01
## bathrooms:property_typeBed & Breakfast:cancellation_policymoderate 7.195e+00
## bathrooms:property_typeBoat:cancellation_policymoderate NA
## bathrooms:property_typeBungalow:cancellation_policymoderate 1.248e-01
## bathrooms:property_typeCabin:cancellation_policymoderate NA
## bathrooms:property_typeCamper/RV:cancellation_policymoderate NA
## bathrooms:property_typeChalet:cancellation_policymoderate NA
## bathrooms:property_typeCondominium:cancellation_policymoderate 1.218e-01
## bathrooms:property_typeDorm:cancellation_policymoderate NA
## bathrooms:property_typeHouse:cancellation_policymoderate -5.795e-02
## bathrooms:property_typeLoft:cancellation_policymoderate 1.724e-01
## bathrooms:property_typeOther:cancellation_policymoderate 2.419e+01
## bathrooms:property_typeTent:cancellation_policymoderate NA
## bathrooms:property_typeTownhouse:cancellation_policymoderate NA
## bathrooms:property_typeTreehouse:cancellation_policymoderate NA
## bathrooms:property_typeYurt:cancellation_policymoderate NA
## bathrooms:property_typeApartment:cancellation_policystrict -1.055e-01
## bathrooms:property_typeBed & Breakfast:cancellation_policystrict 1.052e+01
## bathrooms:property_typeBoat:cancellation_policystrict 9.370e-02
## bathrooms:property_typeBungalow:cancellation_policystrict NA
## bathrooms:property_typeCabin:cancellation_policystrict NA
## bathrooms:property_typeCamper/RV:cancellation_policystrict NA
## bathrooms:property_typeChalet:cancellation_policystrict NA
## bathrooms:property_typeCondominium:cancellation_policystrict 1.478e-01
## bathrooms:property_typeDorm:cancellation_policystrict NA
## bathrooms:property_typeHouse:cancellation_policystrict 8.558e-02
## bathrooms:property_typeLoft:cancellation_policystrict -6.302e-01
## bathrooms:property_typeOther:cancellation_policystrict 4.947e+00
## bathrooms:property_typeTent:cancellation_policystrict NA
## bathrooms:property_typeTownhouse:cancellation_policystrict NA
## bathrooms:property_typeTreehouse:cancellation_policystrict NA
## bathrooms:property_typeYurt:cancellation_policystrict NA
## bathrooms:property_typeApartment:availability_365 -8.302e-04
## bathrooms:property_typeBed & Breakfast:availability_365 1.926e-02
## bathrooms:property_typeBoat:availability_365 -8.796e-03
## bathrooms:property_typeBungalow:availability_365 NA
## bathrooms:property_typeCabin:availability_365 NA
## bathrooms:property_typeCamper/RV:availability_365 4.245e-03
## bathrooms:property_typeChalet:availability_365 NA
## bathrooms:property_typeCondominium:availability_365 -1.901e-03
## bathrooms:property_typeDorm:availability_365 NA
## bathrooms:property_typeHouse:availability_365 -2.393e-04
## bathrooms:property_typeLoft:availability_365 -2.558e-03
## bathrooms:property_typeOther:availability_365 7.038e-02
## bathrooms:property_typeTent:availability_365 NA
## bathrooms:property_typeTownhouse:availability_365 NA
## bathrooms:property_typeTreehouse:availability_365 NA
## bathrooms:property_typeYurt:availability_365 NA
## bathrooms:cancellation_policymoderate:availability_365 3.066e-05
## bathrooms:cancellation_policystrict:availability_365 4.854e-04
## property_typeApartment:cancellation_policymoderate:availability_365 -3.444e-03
## property_typeBed & Breakfast:cancellation_policymoderate:availability_365 1.726e-02
## property_typeBoat:cancellation_policymoderate:availability_365 NA
## property_typeBungalow:cancellation_policymoderate:availability_365 -5.111e-05
## property_typeCabin:cancellation_policymoderate:availability_365 -6.047e-03
## property_typeCamper/RV:cancellation_policymoderate:availability_365 -7.032e-03
## property_typeChalet:cancellation_policymoderate:availability_365 NA
## property_typeCondominium:cancellation_policymoderate:availability_365 -2.077e-03
## property_typeDorm:cancellation_policymoderate:availability_365 NA
## property_typeHouse:cancellation_policymoderate:availability_365 -1.989e-03
## property_typeLoft:cancellation_policymoderate:availability_365 -1.873e-03
## property_typeOther:cancellation_policymoderate:availability_365 5.892e-02
## property_typeTent:cancellation_policymoderate:availability_365 NA
## property_typeTownhouse:cancellation_policymoderate:availability_365 NA
## property_typeTreehouse:cancellation_policymoderate:availability_365 NA
## property_typeYurt:cancellation_policymoderate:availability_365 NA
## property_typeApartment:cancellation_policystrict:availability_365 1.100e-04
## property_typeBed & Breakfast:cancellation_policystrict:availability_365 2.661e-02
## property_typeBoat:cancellation_policystrict:availability_365 NA
## property_typeBungalow:cancellation_policystrict:availability_365 NA
## property_typeCabin:cancellation_policystrict:availability_365 7.525e-04
## property_typeCamper/RV:cancellation_policystrict:availability_365 -4.933e-03
## property_typeChalet:cancellation_policystrict:availability_365 NA
## property_typeCondominium:cancellation_policystrict:availability_365 -2.894e-03
## property_typeDorm:cancellation_policystrict:availability_365 NA
## property_typeHouse:cancellation_policystrict:availability_365 4.792e-04
## property_typeLoft:cancellation_policystrict:availability_365 6.422e-04
## property_typeOther:cancellation_policystrict:availability_365 1.197e-04
## property_typeTent:cancellation_policystrict:availability_365 NA
## property_typeTownhouse:cancellation_policystrict:availability_365 NA
## property_typeTreehouse:cancellation_policystrict:availability_365 NA
## property_typeYurt:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeApartment:cancellation_policymoderate:availability_365 1.620e-03
## bathrooms:property_typeBed & Breakfast:cancellation_policymoderate:availability_365 -1.899e-02
## bathrooms:property_typeBoat:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeBungalow:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeCabin:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeCamper/RV:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeChalet:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeCondominium:cancellation_policymoderate:availability_365 -3.765e-04
## bathrooms:property_typeDorm:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeHouse:cancellation_policymoderate:availability_365 2.390e-04
## bathrooms:property_typeLoft:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeOther:cancellation_policymoderate:availability_365 -6.784e-02
## bathrooms:property_typeTent:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeTownhouse:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeTreehouse:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeYurt:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeApartment:cancellation_policystrict:availability_365 -7.230e-04
## bathrooms:property_typeBed & Breakfast:cancellation_policystrict:availability_365 -2.906e-02
## bathrooms:property_typeBoat:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeBungalow:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeCabin:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeCamper/RV:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeChalet:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeCondominium:cancellation_policystrict:availability_365 1.824e-03
## bathrooms:property_typeDorm:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeHouse:cancellation_policystrict:availability_365 -8.348e-04
## bathrooms:property_typeLoft:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeOther:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeTent:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeTownhouse:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeTreehouse:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeYurt:cancellation_policystrict:availability_365 NA
## Std. Error
## (Intercept) 8.443e-01
## room_typePrivate room 3.586e-02
## room_typeShared room 4.964e-02
## log_acc 2.803e-02
## bedrooms 2.459e-02
## bathrooms 2.261e-01
## property_typeApartment 8.578e-01
## property_typeBed & Breakfast 1.523e+01
## property_typeBoat 1.518e+00
## property_typeBungalow 9.068e-01
## property_typeCabin 8.335e-01
## property_typeCamper/RV 1.164e+00
## property_typeChalet 6.535e-01
## property_typeCondominium 9.171e-01
## property_typeDorm 6.843e-01
## property_typeHouse 8.488e-01
## property_typeLoft 1.808e+00
## property_typeOther 3.539e+01
## property_typeTent 9.105e-01
## property_typeTownhouse 7.886e-01
## property_typeTreehouse 4.463e-01
## property_typeYurt 7.016e-01
## cancellation_policymoderate 4.749e-01
## cancellation_policystrict 6.118e-01
## availability_365 2.053e-03
## room_typePrivate room:log_acc 3.808e-02
## room_typeShared room:log_acc 7.742e-02
## room_typePrivate room:bedrooms NA
## room_typeShared room:bedrooms NA
## log_acc:bedrooms 1.373e-02
## bathrooms:property_typeApartment 2.697e-01
## bathrooms:property_typeBed & Breakfast 1.520e+01
## bathrooms:property_typeBoat 2.348e+00
## bathrooms:property_typeBungalow 2.612e-01
## bathrooms:property_typeCabin NA
## bathrooms:property_typeCamper/RV 7.632e-01
## bathrooms:property_typeChalet NA
## bathrooms:property_typeCondominium 3.840e-01
## bathrooms:property_typeDorm 1.656e-01
## bathrooms:property_typeHouse 2.346e-01
## bathrooms:property_typeLoft 1.644e+00
## bathrooms:property_typeOther 3.539e+01
## bathrooms:property_typeTent 1.318e+00
## bathrooms:property_typeTownhouse NA
## bathrooms:property_typeTreehouse NA
## bathrooms:property_typeYurt NA
## bathrooms:cancellation_policymoderate 3.225e-01
## bathrooms:cancellation_policystrict 2.930e-01
## property_typeApartment:cancellation_policymoderate 5.224e-01
## property_typeBed & Breakfast:cancellation_policymoderate 1.521e+01
## property_typeBoat:cancellation_policymoderate 9.836e-01
## property_typeBungalow:cancellation_policymoderate 1.152e+00
## property_typeCabin:cancellation_policymoderate 1.989e+00
## property_typeCamper/RV:cancellation_policymoderate 2.046e+00
## property_typeChalet:cancellation_policymoderate NA
## property_typeCondominium:cancellation_policymoderate 7.611e-01
## property_typeDorm:cancellation_policymoderate NA
## property_typeHouse:cancellation_policymoderate 4.885e-01
## property_typeLoft:cancellation_policymoderate 8.500e-01
## property_typeOther:cancellation_policymoderate 3.546e+01
## property_typeTent:cancellation_policymoderate 9.286e-01
## property_typeTownhouse:cancellation_policymoderate NA
## property_typeTreehouse:cancellation_policymoderate NA
## property_typeYurt:cancellation_policymoderate NA
## property_typeApartment:cancellation_policystrict 6.434e-01
## property_typeBed & Breakfast:cancellation_policystrict 1.552e+01
## property_typeBoat:cancellation_policystrict 8.099e-01
## property_typeBungalow:cancellation_policystrict 5.786e-01
## property_typeCabin:cancellation_policystrict 5.948e-01
## property_typeCamper/RV:cancellation_policystrict 8.022e-01
## property_typeChalet:cancellation_policystrict NA
## property_typeCondominium:cancellation_policystrict 7.750e-01
## property_typeDorm:cancellation_policystrict NA
## property_typeHouse:cancellation_policystrict 6.226e-01
## property_typeLoft:cancellation_policystrict 1.112e+00
## property_typeOther:cancellation_policystrict 4.777e+00
## property_typeTent:cancellation_policystrict NA
## property_typeTownhouse:cancellation_policystrict 4.353e-01
## property_typeTreehouse:cancellation_policystrict NA
## property_typeYurt:cancellation_policystrict NA
## bathrooms:availability_365 7.497e-04
## property_typeApartment:availability_365 2.130e-03
## property_typeBed & Breakfast:availability_365 4.184e-02
## property_typeBoat:availability_365 4.695e-03
## property_typeBungalow:availability_365 2.094e-03
## property_typeCabin:availability_365 2.250e-03
## property_typeCamper/RV:availability_365 4.230e-03
## property_typeChalet:availability_365 NA
## property_typeCondominium:availability_365 2.482e-03
## property_typeDorm:availability_365 NA
## property_typeHouse:availability_365 2.076e-03
## property_typeLoft:availability_365 4.421e-03
## property_typeOther:availability_365 9.849e-02
## property_typeTent:availability_365 2.879e-03
## property_typeTownhouse:availability_365 1.723e-03
## property_typeTreehouse:availability_365 NA
## property_typeYurt:availability_365 NA
## cancellation_policymoderate:availability_365 1.662e-03
## cancellation_policystrict:availability_365 1.661e-03
## room_typePrivate room:log_acc:bedrooms NA
## room_typeShared room:log_acc:bedrooms NA
## bathrooms:property_typeApartment:cancellation_policymoderate 3.818e-01
## bathrooms:property_typeBed & Breakfast:cancellation_policymoderate 1.520e+01
## bathrooms:property_typeBoat:cancellation_policymoderate NA
## bathrooms:property_typeBungalow:cancellation_policymoderate 8.760e-01
## bathrooms:property_typeCabin:cancellation_policymoderate NA
## bathrooms:property_typeCamper/RV:cancellation_policymoderate NA
## bathrooms:property_typeChalet:cancellation_policymoderate NA
## bathrooms:property_typeCondominium:cancellation_policymoderate 5.798e-01
## bathrooms:property_typeDorm:cancellation_policymoderate NA
## bathrooms:property_typeHouse:cancellation_policymoderate 3.316e-01
## bathrooms:property_typeLoft:cancellation_policymoderate 8.121e-01
## bathrooms:property_typeOther:cancellation_policymoderate 3.541e+01
## bathrooms:property_typeTent:cancellation_policymoderate NA
## bathrooms:property_typeTownhouse:cancellation_policymoderate NA
## bathrooms:property_typeTreehouse:cancellation_policymoderate NA
## bathrooms:property_typeYurt:cancellation_policymoderate NA
## bathrooms:property_typeApartment:cancellation_policystrict 3.459e-01
## bathrooms:property_typeBed & Breakfast:cancellation_policystrict 1.549e+01
## bathrooms:property_typeBoat:cancellation_policystrict 3.471e-01
## bathrooms:property_typeBungalow:cancellation_policystrict NA
## bathrooms:property_typeCabin:cancellation_policystrict NA
## bathrooms:property_typeCamper/RV:cancellation_policystrict NA
## bathrooms:property_typeChalet:cancellation_policystrict NA
## bathrooms:property_typeCondominium:cancellation_policystrict 4.872e-01
## bathrooms:property_typeDorm:cancellation_policystrict NA
## bathrooms:property_typeHouse:cancellation_policystrict 3.022e-01
## bathrooms:property_typeLoft:cancellation_policystrict 1.007e+00
## bathrooms:property_typeOther:cancellation_policystrict 4.715e+00
## bathrooms:property_typeTent:cancellation_policystrict NA
## bathrooms:property_typeTownhouse:cancellation_policystrict NA
## bathrooms:property_typeTreehouse:cancellation_policystrict NA
## bathrooms:property_typeYurt:cancellation_policystrict NA
## bathrooms:property_typeApartment:availability_365 9.244e-04
## bathrooms:property_typeBed & Breakfast:availability_365 4.179e-02
## bathrooms:property_typeBoat:availability_365 7.002e-03
## bathrooms:property_typeBungalow:availability_365 NA
## bathrooms:property_typeCabin:availability_365 NA
## bathrooms:property_typeCamper/RV:availability_365 3.649e-03
## bathrooms:property_typeChalet:availability_365 NA
## bathrooms:property_typeCondominium:availability_365 1.399e-03
## bathrooms:property_typeDorm:availability_365 NA
## bathrooms:property_typeHouse:availability_365 7.818e-04
## bathrooms:property_typeLoft:availability_365 4.022e-03
## bathrooms:property_typeOther:availability_365 9.852e-02
## bathrooms:property_typeTent:availability_365 NA
## bathrooms:property_typeTownhouse:availability_365 NA
## bathrooms:property_typeTreehouse:availability_365 NA
## bathrooms:property_typeYurt:availability_365 NA
## bathrooms:cancellation_policymoderate:availability_365 1.093e-03
## bathrooms:cancellation_policystrict:availability_365 9.967e-04
## property_typeApartment:cancellation_policymoderate:availability_365 1.840e-03
## property_typeBed & Breakfast:cancellation_policymoderate:availability_365 4.184e-02
## property_typeBoat:cancellation_policymoderate:availability_365 NA
## property_typeBungalow:cancellation_policymoderate:availability_365 1.793e-03
## property_typeCabin:cancellation_policymoderate:availability_365 6.018e-03
## property_typeCamper/RV:cancellation_policymoderate:availability_365 6.128e-03
## property_typeChalet:cancellation_policymoderate:availability_365 NA
## property_typeCondominium:cancellation_policymoderate:availability_365 3.103e-03
## property_typeDorm:cancellation_policymoderate:availability_365 NA
## property_typeHouse:cancellation_policymoderate:availability_365 1.711e-03
## property_typeLoft:cancellation_policymoderate:availability_365 1.385e-03
## property_typeOther:cancellation_policymoderate:availability_365 9.877e-02
## property_typeTent:cancellation_policymoderate:availability_365 NA
## property_typeTownhouse:cancellation_policymoderate:availability_365 NA
## property_typeTreehouse:cancellation_policymoderate:availability_365 NA
## property_typeYurt:cancellation_policymoderate:availability_365 NA
## property_typeApartment:cancellation_policystrict:availability_365 1.805e-03
## property_typeBed & Breakfast:cancellation_policystrict:availability_365 4.265e-02
## property_typeBoat:cancellation_policystrict:availability_365 NA
## property_typeBungalow:cancellation_policystrict:availability_365 NA
## property_typeCabin:cancellation_policystrict:availability_365 1.973e-03
## property_typeCamper/RV:cancellation_policystrict:availability_365 3.389e-03
## property_typeChalet:cancellation_policystrict:availability_365 NA
## property_typeCondominium:cancellation_policystrict:availability_365 2.451e-03
## property_typeDorm:cancellation_policystrict:availability_365 NA
## property_typeHouse:cancellation_policystrict:availability_365 1.708e-03
## property_typeLoft:cancellation_policystrict:availability_365 1.411e-03
## property_typeOther:cancellation_policystrict:availability_365 2.563e-03
## property_typeTent:cancellation_policystrict:availability_365 NA
## property_typeTownhouse:cancellation_policystrict:availability_365 NA
## property_typeTreehouse:cancellation_policystrict:availability_365 NA
## property_typeYurt:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeApartment:cancellation_policymoderate:availability_365 1.318e-03
## bathrooms:property_typeBed & Breakfast:cancellation_policymoderate:availability_365 4.180e-02
## bathrooms:property_typeBoat:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeBungalow:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeCabin:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeCamper/RV:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeChalet:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeCondominium:cancellation_policymoderate:availability_365 2.281e-03
## bathrooms:property_typeDorm:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeHouse:cancellation_policymoderate:availability_365 1.129e-03
## bathrooms:property_typeLoft:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeOther:cancellation_policymoderate:availability_365 9.858e-02
## bathrooms:property_typeTent:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeTownhouse:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeTreehouse:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeYurt:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeApartment:cancellation_policystrict:availability_365 1.188e-03
## bathrooms:property_typeBed & Breakfast:cancellation_policystrict:availability_365 4.260e-02
## bathrooms:property_typeBoat:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeBungalow:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeCabin:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeCamper/RV:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeChalet:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeCondominium:cancellation_policystrict:availability_365 1.749e-03
## bathrooms:property_typeDorm:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeHouse:cancellation_policystrict:availability_365 1.030e-03
## bathrooms:property_typeLoft:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeOther:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeTent:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeTownhouse:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeTreehouse:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeYurt:cancellation_policystrict:availability_365 NA
## t value
## (Intercept) 6.305
## room_typePrivate room -14.748
## room_typeShared room -17.609
## log_acc 4.381
## bedrooms 4.960
## bathrooms 0.167
## property_typeApartment -1.761
## property_typeBed & Breakfast 0.416
## property_typeBoat -1.441
## property_typeBungalow -0.864
## property_typeCabin -1.302
## property_typeCamper/RV 0.246
## property_typeChalet 0.441
## property_typeCondominium -1.455
## property_typeDorm -0.080
## property_typeHouse -1.381
## property_typeLoft -1.164
## property_typeOther 0.672
## property_typeTent -1.103
## property_typeTownhouse -0.860
## property_typeTreehouse 0.091
## property_typeYurt -0.144
## cancellation_policymoderate -0.744
## cancellation_policystrict 0.071
## availability_365 -2.014
## room_typePrivate room:log_acc 2.739
## room_typeShared room:log_acc 0.173
## room_typePrivate room:bedrooms NA
## room_typeShared room:bedrooms NA
## log_acc:bedrooms 3.028
## bathrooms:property_typeApartment 1.899
## bathrooms:property_typeBed & Breakfast -0.473
## bathrooms:property_typeBoat 1.295
## bathrooms:property_typeBungalow -0.169
## bathrooms:property_typeCabin NA
## bathrooms:property_typeCamper/RV -2.465
## bathrooms:property_typeChalet NA
## bathrooms:property_typeCondominium 0.964
## bathrooms:property_typeDorm -0.920
## bathrooms:property_typeHouse 0.482
## bathrooms:property_typeLoft 0.888
## bathrooms:property_typeOther -0.711
## bathrooms:property_typeTent -0.453
## bathrooms:property_typeTownhouse NA
## bathrooms:property_typeTreehouse NA
## bathrooms:property_typeYurt NA
## bathrooms:cancellation_policymoderate -0.011
## bathrooms:cancellation_policystrict -0.023
## property_typeApartment:cancellation_policymoderate 1.916
## property_typeBed & Breakfast:cancellation_policymoderate -0.448
## property_typeBoat:cancellation_policymoderate -1.450
## property_typeBungalow:cancellation_policymoderate 0.009
## property_typeCabin:cancellation_policymoderate 1.057
## property_typeCamper/RV:cancellation_policymoderate 0.619
## property_typeChalet:cancellation_policymoderate NA
## property_typeCondominium:cancellation_policymoderate 0.608
## property_typeDorm:cancellation_policymoderate NA
## property_typeHouse:cancellation_policymoderate 0.813
## property_typeLoft:cancellation_policymoderate 0.526
## property_typeOther:cancellation_policymoderate -0.600
## property_typeTent:cancellation_policymoderate 0.298
## property_typeTownhouse:cancellation_policymoderate NA
## property_typeTreehouse:cancellation_policymoderate NA
## property_typeYurt:cancellation_policymoderate NA
## property_typeApartment:cancellation_policystrict 0.315
## property_typeBed & Breakfast:cancellation_policystrict -0.623
## property_typeBoat:cancellation_policystrict -0.584
## property_typeBungalow:cancellation_policystrict -0.300
## property_typeCabin:cancellation_policystrict -0.236
## property_typeCamper/RV:cancellation_policystrict 0.470
## property_typeChalet:cancellation_policystrict NA
## property_typeCondominium:cancellation_policystrict -0.234
## property_typeDorm:cancellation_policystrict NA
## property_typeHouse:cancellation_policystrict -0.194
## property_typeLoft:cancellation_policystrict 0.489
## property_typeOther:cancellation_policystrict -1.051
## property_typeTent:cancellation_policystrict NA
## property_typeTownhouse:cancellation_policystrict -0.515
## property_typeTreehouse:cancellation_policystrict NA
## property_typeYurt:cancellation_policystrict NA
## bathrooms:availability_365 0.185
## property_typeApartment:availability_365 2.440
## property_typeBed & Breakfast:availability_365 -0.346
## property_typeBoat:availability_365 2.127
## property_typeBungalow:availability_365 1.612
## property_typeCabin:availability_365 1.795
## property_typeCamper/RV:availability_365 1.021
## property_typeChalet:availability_365 NA
## property_typeCondominium:availability_365 2.709
## property_typeDorm:availability_365 NA
## property_typeHouse:availability_365 2.301
## property_typeLoft:availability_365 1.225
## property_typeOther:availability_365 -0.660
## property_typeTent:availability_365 1.209
## property_typeTownhouse:availability_365 1.849
## property_typeTreehouse:availability_365 NA
## property_typeYurt:availability_365 NA
## cancellation_policymoderate:availability_365 0.913
## cancellation_policystrict:availability_365 -0.107
## room_typePrivate room:log_acc:bedrooms NA
## room_typeShared room:log_acc:bedrooms NA
## bathrooms:property_typeApartment:cancellation_policymoderate -1.530
## bathrooms:property_typeBed & Breakfast:cancellation_policymoderate 0.473
## bathrooms:property_typeBoat:cancellation_policymoderate NA
## bathrooms:property_typeBungalow:cancellation_policymoderate 0.142
## bathrooms:property_typeCabin:cancellation_policymoderate NA
## bathrooms:property_typeCamper/RV:cancellation_policymoderate NA
## bathrooms:property_typeChalet:cancellation_policymoderate NA
## bathrooms:property_typeCondominium:cancellation_policymoderate 0.210
## bathrooms:property_typeDorm:cancellation_policymoderate NA
## bathrooms:property_typeHouse:cancellation_policymoderate -0.175
## bathrooms:property_typeLoft:cancellation_policymoderate 0.212
## bathrooms:property_typeOther:cancellation_policymoderate 0.683
## bathrooms:property_typeTent:cancellation_policymoderate NA
## bathrooms:property_typeTownhouse:cancellation_policymoderate NA
## bathrooms:property_typeTreehouse:cancellation_policymoderate NA
## bathrooms:property_typeYurt:cancellation_policymoderate NA
## bathrooms:property_typeApartment:cancellation_policystrict -0.305
## bathrooms:property_typeBed & Breakfast:cancellation_policystrict 0.679
## bathrooms:property_typeBoat:cancellation_policystrict 0.270
## bathrooms:property_typeBungalow:cancellation_policystrict NA
## bathrooms:property_typeCabin:cancellation_policystrict NA
## bathrooms:property_typeCamper/RV:cancellation_policystrict NA
## bathrooms:property_typeChalet:cancellation_policystrict NA
## bathrooms:property_typeCondominium:cancellation_policystrict 0.303
## bathrooms:property_typeDorm:cancellation_policystrict NA
## bathrooms:property_typeHouse:cancellation_policystrict 0.283
## bathrooms:property_typeLoft:cancellation_policystrict -0.626
## bathrooms:property_typeOther:cancellation_policystrict 1.049
## bathrooms:property_typeTent:cancellation_policystrict NA
## bathrooms:property_typeTownhouse:cancellation_policystrict NA
## bathrooms:property_typeTreehouse:cancellation_policystrict NA
## bathrooms:property_typeYurt:cancellation_policystrict NA
## bathrooms:property_typeApartment:availability_365 -0.898
## bathrooms:property_typeBed & Breakfast:availability_365 0.461
## bathrooms:property_typeBoat:availability_365 -1.256
## bathrooms:property_typeBungalow:availability_365 NA
## bathrooms:property_typeCabin:availability_365 NA
## bathrooms:property_typeCamper/RV:availability_365 1.163
## bathrooms:property_typeChalet:availability_365 NA
## bathrooms:property_typeCondominium:availability_365 -1.359
## bathrooms:property_typeDorm:availability_365 NA
## bathrooms:property_typeHouse:availability_365 -0.306
## bathrooms:property_typeLoft:availability_365 -0.636
## bathrooms:property_typeOther:availability_365 0.714
## bathrooms:property_typeTent:availability_365 NA
## bathrooms:property_typeTownhouse:availability_365 NA
## bathrooms:property_typeTreehouse:availability_365 NA
## bathrooms:property_typeYurt:availability_365 NA
## bathrooms:cancellation_policymoderate:availability_365 0.028
## bathrooms:cancellation_policystrict:availability_365 0.487
## property_typeApartment:cancellation_policymoderate:availability_365 -1.872
## property_typeBed & Breakfast:cancellation_policymoderate:availability_365 0.412
## property_typeBoat:cancellation_policymoderate:availability_365 NA
## property_typeBungalow:cancellation_policymoderate:availability_365 -0.029
## property_typeCabin:cancellation_policymoderate:availability_365 -1.005
## property_typeCamper/RV:cancellation_policymoderate:availability_365 -1.148
## property_typeChalet:cancellation_policymoderate:availability_365 NA
## property_typeCondominium:cancellation_policymoderate:availability_365 -0.669
## property_typeDorm:cancellation_policymoderate:availability_365 NA
## property_typeHouse:cancellation_policymoderate:availability_365 -1.162
## property_typeLoft:cancellation_policymoderate:availability_365 -1.352
## property_typeOther:cancellation_policymoderate:availability_365 0.597
## property_typeTent:cancellation_policymoderate:availability_365 NA
## property_typeTownhouse:cancellation_policymoderate:availability_365 NA
## property_typeTreehouse:cancellation_policymoderate:availability_365 NA
## property_typeYurt:cancellation_policymoderate:availability_365 NA
## property_typeApartment:cancellation_policystrict:availability_365 0.061
## property_typeBed & Breakfast:cancellation_policystrict:availability_365 0.624
## property_typeBoat:cancellation_policystrict:availability_365 NA
## property_typeBungalow:cancellation_policystrict:availability_365 NA
## property_typeCabin:cancellation_policystrict:availability_365 0.381
## property_typeCamper/RV:cancellation_policystrict:availability_365 -1.456
## property_typeChalet:cancellation_policystrict:availability_365 NA
## property_typeCondominium:cancellation_policystrict:availability_365 -1.181
## property_typeDorm:cancellation_policystrict:availability_365 NA
## property_typeHouse:cancellation_policystrict:availability_365 0.281
## property_typeLoft:cancellation_policystrict:availability_365 0.455
## property_typeOther:cancellation_policystrict:availability_365 0.047
## property_typeTent:cancellation_policystrict:availability_365 NA
## property_typeTownhouse:cancellation_policystrict:availability_365 NA
## property_typeTreehouse:cancellation_policystrict:availability_365 NA
## property_typeYurt:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeApartment:cancellation_policymoderate:availability_365 1.229
## bathrooms:property_typeBed & Breakfast:cancellation_policymoderate:availability_365 -0.454
## bathrooms:property_typeBoat:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeBungalow:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeCabin:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeCamper/RV:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeChalet:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeCondominium:cancellation_policymoderate:availability_365 -0.165
## bathrooms:property_typeDorm:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeHouse:cancellation_policymoderate:availability_365 0.212
## bathrooms:property_typeLoft:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeOther:cancellation_policymoderate:availability_365 -0.688
## bathrooms:property_typeTent:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeTownhouse:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeTreehouse:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeYurt:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeApartment:cancellation_policystrict:availability_365 -0.609
## bathrooms:property_typeBed & Breakfast:cancellation_policystrict:availability_365 -0.682
## bathrooms:property_typeBoat:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeBungalow:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeCabin:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeCamper/RV:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeChalet:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeCondominium:cancellation_policystrict:availability_365 1.043
## bathrooms:property_typeDorm:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeHouse:cancellation_policystrict:availability_365 -0.810
## bathrooms:property_typeLoft:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeOther:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeTent:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeTownhouse:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeTreehouse:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeYurt:cancellation_policystrict:availability_365 NA
## Pr(>|t|)
## (Intercept) 3.22e-10
## room_typePrivate room < 2e-16
## room_typeShared room < 2e-16
## log_acc 1.22e-05
## bedrooms 7.38e-07
## bathrooms 0.86763
## property_typeApartment 0.07830
## property_typeBed & Breakfast 0.67721
## property_typeBoat 0.14976
## property_typeBungalow 0.38762
## property_typeCabin 0.19298
## property_typeCamper/RV 0.80559
## property_typeChalet 0.65931
## property_typeCondominium 0.14573
## property_typeDorm 0.93605
## property_typeHouse 0.16741
## property_typeLoft 0.24463
## property_typeOther 0.50138
## property_typeTent 0.27002
## property_typeTownhouse 0.39009
## property_typeTreehouse 0.92789
## property_typeYurt 0.88588
## cancellation_policymoderate 0.45720
## cancellation_policystrict 0.94340
## availability_365 0.04403
## room_typePrivate room:log_acc 0.00618
## room_typeShared room:log_acc 0.86229
## room_typePrivate room:bedrooms NA
## room_typeShared room:bedrooms NA
## log_acc:bedrooms 0.00248
## bathrooms:property_typeApartment 0.05758
## bathrooms:property_typeBed & Breakfast 0.63593
## bathrooms:property_typeBoat 0.19527
## bathrooms:property_typeBungalow 0.86616
## bathrooms:property_typeCabin NA
## bathrooms:property_typeCamper/RV 0.01374
## bathrooms:property_typeChalet NA
## bathrooms:property_typeCondominium 0.33497
## bathrooms:property_typeDorm 0.35745
## bathrooms:property_typeHouse 0.63005
## bathrooms:property_typeLoft 0.37443
## bathrooms:property_typeOther 0.47688
## bathrooms:property_typeTent 0.65081
## bathrooms:property_typeTownhouse NA
## bathrooms:property_typeTreehouse NA
## bathrooms:property_typeYurt NA
## bathrooms:cancellation_policymoderate 0.99110
## bathrooms:cancellation_policystrict 0.98164
## property_typeApartment:cancellation_policymoderate 0.05546
## property_typeBed & Breakfast:cancellation_policymoderate 0.65383
## property_typeBoat:cancellation_policymoderate 0.14724
## property_typeBungalow:cancellation_policymoderate 0.99292
## property_typeCabin:cancellation_policymoderate 0.29074
## property_typeCamper/RV:cancellation_policymoderate 0.53605
## property_typeChalet:cancellation_policymoderate NA
## property_typeCondominium:cancellation_policymoderate 0.54330
## property_typeDorm:cancellation_policymoderate NA
## property_typeHouse:cancellation_policymoderate 0.41615
## property_typeLoft:cancellation_policymoderate 0.59919
## property_typeOther:cancellation_policymoderate 0.54867
## property_typeTent:cancellation_policymoderate 0.76589
## property_typeTownhouse:cancellation_policymoderate NA
## property_typeTreehouse:cancellation_policymoderate NA
## property_typeYurt:cancellation_policymoderate NA
## property_typeApartment:cancellation_policystrict 0.75246
## property_typeBed & Breakfast:cancellation_policystrict 0.53363
## property_typeBoat:cancellation_policystrict 0.55926
## property_typeBungalow:cancellation_policystrict 0.76431
## property_typeCabin:cancellation_policystrict 0.81312
## property_typeCamper/RV:cancellation_policystrict 0.63873
## property_typeChalet:cancellation_policystrict NA
## property_typeCondominium:cancellation_policystrict 0.81485
## property_typeDorm:cancellation_policystrict NA
## property_typeHouse:cancellation_policystrict 0.84657
## property_typeLoft:cancellation_policystrict 0.62484
## property_typeOther:cancellation_policystrict 0.29310
## property_typeTent:cancellation_policystrict NA
## property_typeTownhouse:cancellation_policystrict 0.60659
## property_typeTreehouse:cancellation_policystrict NA
## property_typeYurt:cancellation_policystrict NA
## bathrooms:availability_365 0.85361
## property_typeApartment:availability_365 0.01472
## property_typeBed & Breakfast:availability_365 0.72910
## property_typeBoat:availability_365 0.03350
## property_typeBungalow:availability_365 0.10695
## property_typeCabin:availability_365 0.07280
## property_typeCamper/RV:availability_365 0.30716
## property_typeChalet:availability_365 NA
## property_typeCondominium:availability_365 0.00678
## property_typeDorm:availability_365 NA
## property_typeHouse:availability_365 0.02142
## property_typeLoft:availability_365 0.22074
## property_typeOther:availability_365 0.50925
## property_typeTent:availability_365 0.22690
## property_typeTownhouse:availability_365 0.06458
## property_typeTreehouse:availability_365 NA
## property_typeYurt:availability_365 NA
## cancellation_policymoderate:availability_365 0.36133
## cancellation_policystrict:availability_365 0.91517
## room_typePrivate room:log_acc:bedrooms NA
## room_typeShared room:log_acc:bedrooms NA
## bathrooms:property_typeApartment:cancellation_policymoderate 0.12619
## bathrooms:property_typeBed & Breakfast:cancellation_policymoderate 0.63598
## bathrooms:property_typeBoat:cancellation_policymoderate NA
## bathrooms:property_typeBungalow:cancellation_policymoderate 0.88672
## bathrooms:property_typeCabin:cancellation_policymoderate NA
## bathrooms:property_typeCamper/RV:cancellation_policymoderate NA
## bathrooms:property_typeChalet:cancellation_policymoderate NA
## bathrooms:property_typeCondominium:cancellation_policymoderate 0.83358
## bathrooms:property_typeDorm:cancellation_policymoderate NA
## bathrooms:property_typeHouse:cancellation_policymoderate 0.86127
## bathrooms:property_typeLoft:cancellation_policymoderate 0.83188
## bathrooms:property_typeOther:cancellation_policymoderate 0.49450
## bathrooms:property_typeTent:cancellation_policymoderate NA
## bathrooms:property_typeTownhouse:cancellation_policymoderate NA
## bathrooms:property_typeTreehouse:cancellation_policymoderate NA
## bathrooms:property_typeYurt:cancellation_policymoderate NA
## bathrooms:property_typeApartment:cancellation_policystrict 0.76046
## bathrooms:property_typeBed & Breakfast:cancellation_policystrict 0.49709
## bathrooms:property_typeBoat:cancellation_policystrict 0.78721
## bathrooms:property_typeBungalow:cancellation_policystrict NA
## bathrooms:property_typeCabin:cancellation_policystrict NA
## bathrooms:property_typeCamper/RV:cancellation_policystrict NA
## bathrooms:property_typeChalet:cancellation_policystrict NA
## bathrooms:property_typeCondominium:cancellation_policystrict 0.76160
## bathrooms:property_typeDorm:cancellation_policystrict NA
## bathrooms:property_typeHouse:cancellation_policystrict 0.77704
## bathrooms:property_typeLoft:cancellation_policystrict 0.53128
## bathrooms:property_typeOther:cancellation_policystrict 0.29422
## bathrooms:property_typeTent:cancellation_policystrict NA
## bathrooms:property_typeTownhouse:cancellation_policystrict NA
## bathrooms:property_typeTreehouse:cancellation_policystrict NA
## bathrooms:property_typeYurt:cancellation_policystrict NA
## bathrooms:property_typeApartment:availability_365 0.36917
## bathrooms:property_typeBed & Breakfast:availability_365 0.64490
## bathrooms:property_typeBoat:availability_365 0.20912
## bathrooms:property_typeBungalow:availability_365 NA
## bathrooms:property_typeCabin:availability_365 NA
## bathrooms:property_typeCamper/RV:availability_365 0.24475
## bathrooms:property_typeChalet:availability_365 NA
## bathrooms:property_typeCondominium:availability_365 0.17438
## bathrooms:property_typeDorm:availability_365 NA
## bathrooms:property_typeHouse:availability_365 0.75960
## bathrooms:property_typeLoft:availability_365 0.52482
## bathrooms:property_typeOther:availability_365 0.47503
## bathrooms:property_typeTent:availability_365 NA
## bathrooms:property_typeTownhouse:availability_365 NA
## bathrooms:property_typeTreehouse:availability_365 NA
## bathrooms:property_typeYurt:availability_365 NA
## bathrooms:cancellation_policymoderate:availability_365 0.97762
## bathrooms:cancellation_policystrict:availability_365 0.62630
## property_typeApartment:cancellation_policymoderate:availability_365 0.06135
## property_typeBed & Breakfast:cancellation_policymoderate:availability_365 0.68002
## property_typeBoat:cancellation_policymoderate:availability_365 NA
## property_typeBungalow:cancellation_policymoderate:availability_365 0.97726
## property_typeCabin:cancellation_policymoderate:availability_365 0.31504
## property_typeCamper/RV:cancellation_policymoderate:availability_365 0.25122
## property_typeChalet:cancellation_policymoderate:availability_365 NA
## property_typeCondominium:cancellation_policymoderate:availability_365 0.50332
## property_typeDorm:cancellation_policymoderate:availability_365 NA
## property_typeHouse:cancellation_policymoderate:availability_365 0.24521
## property_typeLoft:cancellation_policymoderate:availability_365 0.17649
## property_typeOther:cancellation_policymoderate:availability_365 0.55084
## property_typeTent:cancellation_policymoderate:availability_365 NA
## property_typeTownhouse:cancellation_policymoderate:availability_365 NA
## property_typeTreehouse:cancellation_policymoderate:availability_365 NA
## property_typeYurt:cancellation_policymoderate:availability_365 NA
## property_typeApartment:cancellation_policystrict:availability_365 0.95139
## property_typeBed & Breakfast:cancellation_policystrict:availability_365 0.53278
## property_typeBoat:cancellation_policystrict:availability_365 NA
## property_typeBungalow:cancellation_policystrict:availability_365 NA
## property_typeCabin:cancellation_policystrict:availability_365 0.70290
## property_typeCamper/RV:cancellation_policystrict:availability_365 0.14556
## property_typeChalet:cancellation_policystrict:availability_365 NA
## property_typeCondominium:cancellation_policystrict:availability_365 0.23785
## property_typeDorm:cancellation_policystrict:availability_365 NA
## property_typeHouse:cancellation_policystrict:availability_365 0.77909
## property_typeLoft:cancellation_policystrict:availability_365 0.64908
## property_typeOther:cancellation_policystrict:availability_365 0.96274
## property_typeTent:cancellation_policystrict:availability_365 NA
## property_typeTownhouse:cancellation_policystrict:availability_365 NA
## property_typeTreehouse:cancellation_policystrict:availability_365 NA
## property_typeYurt:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeApartment:cancellation_policymoderate:availability_365 0.21916
## bathrooms:property_typeBed & Breakfast:cancellation_policymoderate:availability_365 0.64964
## bathrooms:property_typeBoat:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeBungalow:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeCabin:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeCamper/RV:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeChalet:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeCondominium:cancellation_policymoderate:availability_365 0.86889
## bathrooms:property_typeDorm:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeHouse:cancellation_policymoderate:availability_365 0.83234
## bathrooms:property_typeLoft:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeOther:cancellation_policymoderate:availability_365 0.49142
## bathrooms:property_typeTent:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeTownhouse:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeTreehouse:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeYurt:cancellation_policymoderate:availability_365 NA
## bathrooms:property_typeApartment:cancellation_policystrict:availability_365 0.54287
## bathrooms:property_typeBed & Breakfast:cancellation_policystrict:availability_365 0.49521
## bathrooms:property_typeBoat:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeBungalow:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeCabin:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeCamper/RV:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeChalet:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeCondominium:cancellation_policystrict:availability_365 0.29698
## bathrooms:property_typeDorm:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeHouse:cancellation_policystrict:availability_365 0.41781
## bathrooms:property_typeLoft:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeOther:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeTent:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeTownhouse:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeTreehouse:cancellation_policystrict:availability_365 NA
## bathrooms:property_typeYurt:cancellation_policystrict:availability_365 NA
##
## (Intercept) ***
## room_typePrivate room ***
## room_typeShared room ***
## log_acc ***
## bedrooms ***
## bathrooms
## property_typeApartment .
## property_typeBed & Breakfast
## property_typeBoat
## property_typeBungalow
## property_typeCabin
## property_typeCamper/RV
## property_typeChalet
## property_typeCondominium
## property_typeDorm
## property_typeHouse
## property_typeLoft
## property_typeOther
## property_typeTent
## property_typeTownhouse
## property_typeTreehouse
## property_typeYurt
## cancellation_policymoderate
## cancellation_policystrict
## availability_365 *
## room_typePrivate room:log_acc **
## room_typeShared room:log_acc
## room_typePrivate room:bedrooms
## room_typeShared room:bedrooms
## log_acc:bedrooms **
## bathrooms:property_typeApartment .
## bathrooms:property_typeBed & Breakfast
## bathrooms:property_typeBoat
## bathrooms:property_typeBungalow
## bathrooms:property_typeCabin
## bathrooms:property_typeCamper/RV *
## bathrooms:property_typeChalet
## bathrooms:property_typeCondominium
## bathrooms:property_typeDorm
## bathrooms:property_typeHouse
## bathrooms:property_typeLoft
## bathrooms:property_typeOther
## bathrooms:property_typeTent
## bathrooms:property_typeTownhouse
## bathrooms:property_typeTreehouse
## bathrooms:property_typeYurt
## bathrooms:cancellation_policymoderate
## bathrooms:cancellation_policystrict
## property_typeApartment:cancellation_policymoderate .
## property_typeBed & Breakfast:cancellation_policymoderate
## property_typeBoat:cancellation_policymoderate
## property_typeBungalow:cancellation_policymoderate
## property_typeCabin:cancellation_policymoderate
## property_typeCamper/RV:cancellation_policymoderate
## property_typeChalet:cancellation_policymoderate
## property_typeCondominium:cancellation_policymoderate
## property_typeDorm:cancellation_policymoderate
## property_typeHouse:cancellation_policymoderate
## property_typeLoft:cancellation_policymoderate
## property_typeOther:cancellation_policymoderate
## property_typeTent:cancellation_policymoderate
## property_typeTownhouse:cancellation_policymoderate
## property_typeTreehouse:cancellation_policymoderate
## property_typeYurt:cancellation_policymoderate
## property_typeApartment:cancellation_policystrict
## property_typeBed & Breakfast:cancellation_policystrict
## property_typeBoat:cancellation_policystrict
## property_typeBungalow:cancellation_policystrict
## property_typeCabin:cancellation_policystrict
## property_typeCamper/RV:cancellation_policystrict
## property_typeChalet:cancellation_policystrict
## property_typeCondominium:cancellation_policystrict
## property_typeDorm:cancellation_policystrict
## property_typeHouse:cancellation_policystrict
## property_typeLoft:cancellation_policystrict
## property_typeOther:cancellation_policystrict
## property_typeTent:cancellation_policystrict
## property_typeTownhouse:cancellation_policystrict
## property_typeTreehouse:cancellation_policystrict
## property_typeYurt:cancellation_policystrict
## bathrooms:availability_365
## property_typeApartment:availability_365 *
## property_typeBed & Breakfast:availability_365
## property_typeBoat:availability_365 *
## property_typeBungalow:availability_365
## property_typeCabin:availability_365 .
## property_typeCamper/RV:availability_365
## property_typeChalet:availability_365
## property_typeCondominium:availability_365 **
## property_typeDorm:availability_365
## property_typeHouse:availability_365 *
## property_typeLoft:availability_365
## property_typeOther:availability_365
## property_typeTent:availability_365
## property_typeTownhouse:availability_365 .
## property_typeTreehouse:availability_365
## property_typeYurt:availability_365
## cancellation_policymoderate:availability_365
## cancellation_policystrict:availability_365
## room_typePrivate room:log_acc:bedrooms
## room_typeShared room:log_acc:bedrooms
## bathrooms:property_typeApartment:cancellation_policymoderate
## bathrooms:property_typeBed & Breakfast:cancellation_policymoderate
## bathrooms:property_typeBoat:cancellation_policymoderate
## bathrooms:property_typeBungalow:cancellation_policymoderate
## bathrooms:property_typeCabin:cancellation_policymoderate
## bathrooms:property_typeCamper/RV:cancellation_policymoderate
## bathrooms:property_typeChalet:cancellation_policymoderate
## bathrooms:property_typeCondominium:cancellation_policymoderate
## bathrooms:property_typeDorm:cancellation_policymoderate
## bathrooms:property_typeHouse:cancellation_policymoderate
## bathrooms:property_typeLoft:cancellation_policymoderate
## bathrooms:property_typeOther:cancellation_policymoderate
## bathrooms:property_typeTent:cancellation_policymoderate
## bathrooms:property_typeTownhouse:cancellation_policymoderate
## bathrooms:property_typeTreehouse:cancellation_policymoderate
## bathrooms:property_typeYurt:cancellation_policymoderate
## bathrooms:property_typeApartment:cancellation_policystrict
## bathrooms:property_typeBed & Breakfast:cancellation_policystrict
## bathrooms:property_typeBoat:cancellation_policystrict
## bathrooms:property_typeBungalow:cancellation_policystrict
## bathrooms:property_typeCabin:cancellation_policystrict
## bathrooms:property_typeCamper/RV:cancellation_policystrict
## bathrooms:property_typeChalet:cancellation_policystrict
## bathrooms:property_typeCondominium:cancellation_policystrict
## bathrooms:property_typeDorm:cancellation_policystrict
## bathrooms:property_typeHouse:cancellation_policystrict
## bathrooms:property_typeLoft:cancellation_policystrict
## bathrooms:property_typeOther:cancellation_policystrict
## bathrooms:property_typeTent:cancellation_policystrict
## bathrooms:property_typeTownhouse:cancellation_policystrict
## bathrooms:property_typeTreehouse:cancellation_policystrict
## bathrooms:property_typeYurt:cancellation_policystrict
## bathrooms:property_typeApartment:availability_365
## bathrooms:property_typeBed & Breakfast:availability_365
## bathrooms:property_typeBoat:availability_365
## bathrooms:property_typeBungalow:availability_365
## bathrooms:property_typeCabin:availability_365
## bathrooms:property_typeCamper/RV:availability_365
## bathrooms:property_typeChalet:availability_365
## bathrooms:property_typeCondominium:availability_365
## bathrooms:property_typeDorm:availability_365
## bathrooms:property_typeHouse:availability_365
## bathrooms:property_typeLoft:availability_365
## bathrooms:property_typeOther:availability_365
## bathrooms:property_typeTent:availability_365
## bathrooms:property_typeTownhouse:availability_365
## bathrooms:property_typeTreehouse:availability_365
## bathrooms:property_typeYurt:availability_365
## bathrooms:cancellation_policymoderate:availability_365
## bathrooms:cancellation_policystrict:availability_365
## property_typeApartment:cancellation_policymoderate:availability_365 .
## property_typeBed & Breakfast:cancellation_policymoderate:availability_365
## property_typeBoat:cancellation_policymoderate:availability_365
## property_typeBungalow:cancellation_policymoderate:availability_365
## property_typeCabin:cancellation_policymoderate:availability_365
## property_typeCamper/RV:cancellation_policymoderate:availability_365
## property_typeChalet:cancellation_policymoderate:availability_365
## property_typeCondominium:cancellation_policymoderate:availability_365
## property_typeDorm:cancellation_policymoderate:availability_365
## property_typeHouse:cancellation_policymoderate:availability_365
## property_typeLoft:cancellation_policymoderate:availability_365
## property_typeOther:cancellation_policymoderate:availability_365
## property_typeTent:cancellation_policymoderate:availability_365
## property_typeTownhouse:cancellation_policymoderate:availability_365
## property_typeTreehouse:cancellation_policymoderate:availability_365
## property_typeYurt:cancellation_policymoderate:availability_365
## property_typeApartment:cancellation_policystrict:availability_365
## property_typeBed & Breakfast:cancellation_policystrict:availability_365
## property_typeBoat:cancellation_policystrict:availability_365
## property_typeBungalow:cancellation_policystrict:availability_365
## property_typeCabin:cancellation_policystrict:availability_365
## property_typeCamper/RV:cancellation_policystrict:availability_365
## property_typeChalet:cancellation_policystrict:availability_365
## property_typeCondominium:cancellation_policystrict:availability_365
## property_typeDorm:cancellation_policystrict:availability_365
## property_typeHouse:cancellation_policystrict:availability_365
## property_typeLoft:cancellation_policystrict:availability_365
## property_typeOther:cancellation_policystrict:availability_365
## property_typeTent:cancellation_policystrict:availability_365
## property_typeTownhouse:cancellation_policystrict:availability_365
## property_typeTreehouse:cancellation_policystrict:availability_365
## property_typeYurt:cancellation_policystrict:availability_365
## bathrooms:property_typeApartment:cancellation_policymoderate:availability_365
## bathrooms:property_typeBed & Breakfast:cancellation_policymoderate:availability_365
## bathrooms:property_typeBoat:cancellation_policymoderate:availability_365
## bathrooms:property_typeBungalow:cancellation_policymoderate:availability_365
## bathrooms:property_typeCabin:cancellation_policymoderate:availability_365
## bathrooms:property_typeCamper/RV:cancellation_policymoderate:availability_365
## bathrooms:property_typeChalet:cancellation_policymoderate:availability_365
## bathrooms:property_typeCondominium:cancellation_policymoderate:availability_365
## bathrooms:property_typeDorm:cancellation_policymoderate:availability_365
## bathrooms:property_typeHouse:cancellation_policymoderate:availability_365
## bathrooms:property_typeLoft:cancellation_policymoderate:availability_365
## bathrooms:property_typeOther:cancellation_policymoderate:availability_365
## bathrooms:property_typeTent:cancellation_policymoderate:availability_365
## bathrooms:property_typeTownhouse:cancellation_policymoderate:availability_365
## bathrooms:property_typeTreehouse:cancellation_policymoderate:availability_365
## bathrooms:property_typeYurt:cancellation_policymoderate:availability_365
## bathrooms:property_typeApartment:cancellation_policystrict:availability_365
## bathrooms:property_typeBed & Breakfast:cancellation_policystrict:availability_365
## bathrooms:property_typeBoat:cancellation_policystrict:availability_365
## bathrooms:property_typeBungalow:cancellation_policystrict:availability_365
## bathrooms:property_typeCabin:cancellation_policystrict:availability_365
## bathrooms:property_typeCamper/RV:cancellation_policystrict:availability_365
## bathrooms:property_typeChalet:cancellation_policystrict:availability_365
## bathrooms:property_typeCondominium:cancellation_policystrict:availability_365
## bathrooms:property_typeDorm:cancellation_policystrict:availability_365
## bathrooms:property_typeHouse:cancellation_policystrict:availability_365
## bathrooms:property_typeLoft:cancellation_policystrict:availability_365
## bathrooms:property_typeOther:cancellation_policystrict:availability_365
## bathrooms:property_typeTent:cancellation_policystrict:availability_365
## bathrooms:property_typeTownhouse:cancellation_policystrict:availability_365
## bathrooms:property_typeTreehouse:cancellation_policystrict:availability_365
## bathrooms:property_typeYurt:cancellation_policystrict:availability_365
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.3421 on 3668 degrees of freedom
## (22 observations deleted due to missingness)
## Multiple R-squared: 0.6473, Adjusted R-squared: 0.6351
## F-statistic: 53.01 on 127 and 3668 DF, p-value: < 2.2e-16Results: R-squared is at 63.5%.
- Pairwise comparison
# price vs bathrooms
p1 <- ggplot(data_train, aes(x=bathrooms, y=log_price)) +
geom_point(colour = "orange", size = 1.5) +
geom_smooth(method='lm', color='red') +
ylab("price")
# price vs accommodates
p2 <- ggplot(data_train, aes(x=log_acc, y=log_price)) +
geom_point(colour = "orange", size = 1.5) +
geom_smooth(method='lm', color='red') +
ylab("price")
# price vs bedrooms
p3 <- ggplot(data_train, aes(x=bedrooms, y=log_price)) +
geom_point(colour = "orange", size = 1.5) +
geom_smooth(method='lm', color='red') +
ylab("price")
# price vs room_type
p4 <- ggplot(data_train, aes(x=room_type, y=log_price)) +
geom_point(colour = "orange", size = 1.5) +
geom_smooth(method='lm', color='red') +
ylab("price")
#price vs host_is_superhost
p5 <- ggplot(data_train, aes(x=host_is_superhost, y=log_price)) +
geom_point(colour = "orange", size = 1.5) +
geom_smooth(method='lm', color='red') +
ylab("price")
p6 <- ggplot(data_train, aes(x=cancellation_policy, y=log_price)) +
geom_point(colour = "orange", size = 1.5) +
geom_smooth(method='lm', color='red') +
ylab("price")
# combining all plots
grid.arrange(p1, p2, p3, p4,p5,p6, ncol = 3)## Warning: Removed 16 rows containing non-finite values (stat_smooth).## Warning: Removed 16 rows containing missing values (geom_point).## Warning: Removed 6 rows containing non-finite values (stat_smooth).## Warning: Removed 6 rows containing missing values (geom_point).
- Predicting Price using Linear Regression Model
set.seed(100)
trainingRowIndex <- sample(1:nrow(data_train), 0.8 *nrow(data_train))
trainingData <- data_train[trainingRowIndex,]
testData <- data_train[-trainingRowIndex,]
lm_model <- lm(formula = log_price ~ room_type + log_acc + bedrooms + bathrooms + host_is_superhost + cancellation_policy + availability_365, data = trainingData)
price_pred <- predict(lm_model, testData)
summary(lm_model)##
## Call:
## lm(formula = log_price ~ room_type + log_acc + bedrooms + bathrooms +
## host_is_superhost + cancellation_policy + availability_365,
## data = trainingData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.97923 -0.23494 -0.02321 0.20687 2.20209
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.6951900 0.2465674 19.042 < 2e-16 ***
## room_typePrivate room -0.4590083 0.0169419 -27.093 < 2e-16 ***
## room_typeShared room -0.8706753 0.0415085 -20.976 < 2e-16 ***
## log_acc 0.2223053 0.0196174 11.332 < 2e-16 ***
## bedrooms 0.1521899 0.0114227 13.323 < 2e-16 ***
## bathrooms 0.1436321 0.0137453 10.450 < 2e-16 ***
## host_is_superhostf -0.5443689 0.2464919 -2.208 0.02729 *
## host_is_superhostt -0.4822089 0.2467910 -1.954 0.05080 .
## cancellation_policymoderate -0.0501599 0.0162605 -3.085 0.00206 **
## cancellation_policystrict 0.0175187 0.0163914 1.069 0.28526
## availability_365 0.0003122 0.0000505 6.183 7.12e-10 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.3479 on 3022 degrees of freedom
## (21 observations deleted due to missingness)
## Multiple R-squared: 0.6197, Adjusted R-squared: 0.6185
## F-statistic: 492.5 on 10 and 3022 DF, p-value: < 2.2e-16LM_pred <- data.frame(cbind(Actual = testData$log_price, Predicted= price_pred))
correlation_accuracy <- cor(LM_pred)
head(LM_pred)correlation_accuracy## Actual Predicted
## Actual 1 NA
## Predicted NA 1plot(lm_model)
#ggplot(data = testData, aes(x = actual_pred$Actual, y = actual_pred$Predicted)) +
#geom_point() +
#stat_smooth(method = "lm", col = "dodgerblue3") +
#theme(panel.background = element_rect(fill = "white"),
#axis.line.x=element_line(),
#axis.line.y=element_line()) +
#ggtitle("Linear Model Fitted to Data") + ylab("Predicted") + xlab("Actuals")R-squared value of 62%.
- Correlation matrix
data.corr <- data_train %>% filter(!is.na(log_acc)) %>% filter(!is.na(bathrooms)) %>% filter(!is.na(bedrooms)) %>% filter(!is.na(availability_365)) %>%
select(log_price, price, bedrooms, bathrooms, log_acc, availability_365)
kable(cor(data.corr)) %>% kable_styling()| log_price | price | bedrooms | bathrooms | log_acc | availability_365 | |
|---|---|---|---|---|---|---|
| log_price | 1.0000000 | 0.9012258 | 0.5782156 | 0.4264318 | 0.6779864 | -0.0196862 |
| price | 0.9012258 | 1.0000000 | 0.6281691 | 0.5164928 | 0.6063897 | -0.0151608 |
| bedrooms | 0.5782156 | 0.6281691 | 1.0000000 | 0.6109366 | 0.6753971 | -0.0489872 |
| bathrooms | 0.4264318 | 0.5164928 | 0.6109366 | 1.0000000 | 0.4343355 | -0.0018382 |
| log_acc | 0.6779864 | 0.6063897 | 0.6753971 | 0.4343355 | 1.0000000 | -0.0490721 |
| availability_365 | -0.0196862 | -0.0151608 | -0.0489872 | -0.0018382 | -0.0490721 | 1.0000000 |
Bedrooms, bathrooms and log_accommodates have a correlation with log price but not a strong one.
- Preparing test and train data
library(caTools)
data_train <- data_train %>% drop_na(log_price) %>% drop_na(log_acc) %>% drop_na(bedrooms) %>% drop_na(bathrooms) %>% drop_na(room_type) %>% drop_na(host_is_superhost) %>% drop_na(cancellation_policy) %>% drop_na(availability_365)
sample_size <- floor(0.75 * nrow(data_train))
set.seed(1)
train_ind <- sample(seq_len(nrow(data_train)), size = sample_size)
train <- data_train[train_ind,]
test <- data_train[-train_ind,]- Create a CART model - with log price and bedroom
# Implement CART model
library(rpart)
library(rpart.plot)
CARTmodel1 = rpart(log_price ~ bedrooms, data = train, cp =0.001)
prp(CARTmodel1)
Make predictions
# Make predictions
predTest = predict(CARTmodel1, newdata = test)
#SSE
SSE = sum((predTest - test$log_price)^2)
cat("SSE = ",SSE)## SSE = 188.1011# RMSE
RMSE = sqrt(mean((predTest - test$log_price)^2))
cat("\nRMSE = ",RMSE)##
## RMSE = 0.4452076# Baseline
baseline = mean(train$log_price)
cat("\nbaseline = ",baseline)##
## baseline = 4.679079# SSE of baseline model on testing set
SSEb = sum((baseline - test$log_price)^2)
cat("\nSSEb = ", SSEb)##
## SSEb = 313.9252# R^2
Rsquared = 1 - SSE/SSEb
cat("\nR squared = ",Rsquared)##
## R squared = 0.4008091- Creating CART model to predict log(price) using variables: log(acc), bedrooms, bathrooms, room_type, host_is_superhost, cancellation_policy
CARTmodel2 = rpart(log_price ~ log_acc + bedrooms + bathrooms + room_type + host_is_superhost + cancellation_policy + availability_365, data = train, cp =0.001)
prp(CARTmodel2)
Make predictions:
# Make predictions
predTest = predict(CARTmodel2, newdata = test)
#head(predTest)
#SSE
SSE = sum((predTest - test$log_price)^2)
cat("SSE = ",SSE)## SSE = 115.5563# RMSE
RMSE = sqrt(mean((predTest - test$log_price)^2))
cat("\nRMSE = ",RMSE)##
## RMSE = 0.3489504# Baseline
baseline = mean(train$log_price)
cat("\nbaseline = ",baseline)##
## baseline = 4.679079# SSE of baseline model on testing set
SSEb = sum((baseline - test$log_price)^2)
cat("\nSSEb = ", SSEb)##
## SSEb = 313.9252# R^2
Rsquared = 1 - SSE/SSEb
cat("\nR squared = ",Rsquared)##
## R squared = 0.6318986- Random Forest
library(randomForest)## randomForest 4.6-14## Type rfNews() to see new features/changes/bug fixes.##
## Attaching package: 'randomForest'## The following object is masked from 'package:gridExtra':
##
## combine## The following object is masked from 'package:acs':
##
## combine## The following object is masked from 'package:dplyr':
##
## combine## The following object is masked from 'package:ggplot2':
##
## marginlibrary(party)## Loading required package: grid## Loading required package: mvtnorm## Loading required package: modeltools## Loading required package: stats4## Loading required package: strucchange## Loading required package: zoo##
## Attaching package: 'zoo'## The following objects are masked from 'package:base':
##
## as.Date, as.Date.numeric## Loading required package: sandwich##
## Attaching package: 'strucchange'## The following object is masked from 'package:stringr':
##
## boundaryset.seed(1)
RFmodel1 <- randomForest(formula = log_price ~ log_acc + bedrooms + bathrooms +room_type + property_type + host_is_superhost + cancellation_policy + availability_365, data=train, nodesize = 100, ntree = 1000, mtry = 2, importance = TRUE, na.action = na.omit)
RFmodel1##
## Call:
## randomForest(formula = log_price ~ log_acc + bedrooms + bathrooms + room_type + property_type + host_is_superhost + cancellation_policy + availability_365, data = train, nodesize = 100, ntree = 1000, mtry = 2, importance = TRUE, na.action = na.omit)
## Type of random forest: regression
## Number of trees: 1000
## No. of variables tried at each split: 2
##
## Mean of squared residuals: 0.1176611
## % Var explained: 62.92#getTree(RFmodel1, 1)
#plot(RFmodel1)
round(importance(RFmodel1),2)## %IncMSE IncNodePurity
## log_acc 36.22 122.45
## bedrooms 39.57 151.49
## bathrooms 50.04 68.02
## room_type 63.43 167.29
## property_type 38.01 26.44
## host_is_superhost 28.12 3.39
## cancellation_policy 33.40 14.97
## availability_365 44.65 18.21- Using Random Forest to make predictions
# Make predictions
predTest <- predict(RFmodel1, newdata = test, type = "response")
RT_pred <- data.frame(cbind(Actual = test$log_price, Predicted= predTest))
RT_pred- Parameters for Random Forest
# SSE
SSE = sum((predTest - test$log_price)^2)
cat("SSE = ",SSE)## SSE = 110.9044# RMSE
RMSE = sqrt(mean((predTest - test$log_price)^2))
cat("\nRMSE = ",RMSE)##
## RMSE = 0.3418545# Baseline
baseline = mean(test$log_price)
cat("\nBaseline = ",baseline)##
## Baseline = 4.679683# SSE of baseline model on testing set
SSEb = sum((baseline - test$log_price)^2)
cat("\nSSEb = ",SSEb)##
## SSEb = 313.9248# R^2
Rsquared = 1 - SSE/SSEb
cat("\nRsquared = ",Rsquared)##
## Rsquared = 0.6467166Random Tree Forest model gives the highest R-squared value of 64.7%.
- Parameter Tuning - Grid Search
library(mlbench)
library(caret)## Loading required package: lattice##
## Attaching package: 'caret'## The following object is masked from 'package:purrr':
##
## liftlibrary(e1071)
set.seed(1)
trControl <- trainControl(method = "cv", number = 10, search = "grid")
rf_default <- train(log_price ~ log_acc + bedrooms + bathrooms + room_type + property_type + host_is_superhost, data = train, method = "rf", metric = "Rsquared", trControl = trControl)
print(rf_default)## Random Forest
##
## 2847 samples
## 6 predictor
##
## No pre-processing
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 2563, 2562, 2563, 2561, 2563, 2563, ...
## Resampling results across tuning parameters:
##
## mtry RMSE Rsquared MAE
## 2 0.3868876 0.5986550 0.3018927
## 12 0.3536831 0.6063290 0.2718425
## 23 0.3577775 0.5980928 0.2744622
##
## Rsquared was used to select the optimal model using the largest value.
## The final value used for the model was mtry = 12.- ANOVA - to compare categorical data
AOV_res <- summary(aov(log_price ~ factor(property_type) + factor(neighbourhood_cleansed), data = data_train))
AOV_res## Df Sum Sq Mean Sq F value Pr(>F)
## factor(property_type) 16 15.5 0.9703 3.437 4.01e-06 ***
## factor(neighbourhood_cleansed) 86 159.1 1.8506 6.555 < 2e-16 ***
## Residuals 3693 1042.7 0.2823
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Results: As we can see, property type and neighborhood do have a significant impact on price since the p-value is much smaller than the significance level.
- GLM?
glm_1 <- glm(log_price ~ log_acc + bedrooms + bathrooms + room_type + host_is_superhost + cancellation_policy, data = data_train)
summary(glm_1)##
## Call:
## glm(formula = log_price ~ log_acc + bedrooms + bathrooms + room_type +
## host_is_superhost + cancellation_policy, data = data_train)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -1.32943 -0.23508 -0.02212 0.20954 2.12792
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.72157 0.24974 18.906 < 2e-16 ***
## log_acc 0.21184 0.01763 12.019 < 2e-16 ***
## bedrooms 0.16066 0.01014 15.841 < 2e-16 ***
## bathrooms 0.13242 0.01231 10.760 < 2e-16 ***
## room_typePrivate room -0.45565 0.01521 -29.961 < 2e-16 ***
## room_typeShared room -0.85536 0.03627 -23.586 < 2e-16 ***
## host_is_superhostf -0.48376 0.24957 -1.938 0.05265 .
## host_is_superhostt -0.43048 0.24982 -1.723 0.08494 .
## cancellation_policymoderate -0.04573 0.01466 -3.119 0.00183 **
## cancellation_policystrict 0.02255 0.01480 1.524 0.12764
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for gaussian family taken to be 0.1242978)
##
## Null deviance: 1217.33 on 3795 degrees of freedom
## Residual deviance: 470.59 on 3786 degrees of freedom
## AIC: 2869.6
##
## Number of Fisher Scoring iterations: 2glm_1$coeff## (Intercept) log_acc
## 4.72156736 0.21184280
## bedrooms bathrooms
## 0.16065572 0.13242334
## room_typePrivate room room_typeShared room
## -0.45565427 -0.85536239
## host_is_superhostf host_is_superhostt
## -0.48375721 -0.43047503
## cancellation_policymoderate cancellation_policystrict
## -0.04573284 0.02255149glm_1 <- glm(log_price ~ log_acc + bedrooms + bathrooms + room_type + host_is_superhost + cancellation_policy, data = data_train)
summary(glm_1)##
## Call:
## glm(formula = log_price ~ log_acc + bedrooms + bathrooms + room_type +
## host_is_superhost + cancellation_policy, data = data_train)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -1.32943 -0.23508 -0.02212 0.20954 2.12792
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.72157 0.24974 18.906 < 2e-16 ***
## log_acc 0.21184 0.01763 12.019 < 2e-16 ***
## bedrooms 0.16066 0.01014 15.841 < 2e-16 ***
## bathrooms 0.13242 0.01231 10.760 < 2e-16 ***
## room_typePrivate room -0.45565 0.01521 -29.961 < 2e-16 ***
## room_typeShared room -0.85536 0.03627 -23.586 < 2e-16 ***
## host_is_superhostf -0.48376 0.24957 -1.938 0.05265 .
## host_is_superhostt -0.43048 0.24982 -1.723 0.08494 .
## cancellation_policymoderate -0.04573 0.01466 -3.119 0.00183 **
## cancellation_policystrict 0.02255 0.01480 1.524 0.12764
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for gaussian family taken to be 0.1242978)
##
## Null deviance: 1217.33 on 3795 degrees of freedom
## Residual deviance: 470.59 on 3786 degrees of freedom
## AIC: 2869.6
##
## Number of Fisher Scoring iterations: 2glm_1$coeff## (Intercept) log_acc
## 4.72156736 0.21184280
## bedrooms bathrooms
## 0.16065572 0.13242334
## room_typePrivate room room_typeShared room
## -0.45565427 -0.85536239
## host_is_superhostf host_is_superhostt
## -0.48375721 -0.43047503
## cancellation_policymoderate cancellation_policystrict
## -0.04573284 0.02255149Model Evaluation
Model is evaluated based on R-squared value i.e. % of variablility explained by the model. Linear Regression has an R-squared value of 62%. Random Tree Forest has an R-square value of 64.7%. Based on this, Random Tree Forest wins.
Utility Function 1. For Linear Regression
LM_pred$diff <- LM_pred$Actual - LM_pred$Predicted
diff <- sum(LM_pred$diff)
LM_predcat("Sum of diff = ", diff)## Sum of diff = NALoss of $6.56 based on this model.
- Random Tree Forest
RT_pred$diff <- RT_pred$Actual - RT_pred$Predicted
diff2 <- sum(RT_pred$diff)
RT_predcat("\n Diff = ",diff2)##
## Diff = -6.275003Based on this model, a loss of $6.275.
Random Tree Forest wins again.